{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "计算每个项目所设立的年份"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 读取数据文件\n",
    "data_file = \"2025_Problem_C_Data/summerOly_programs.csv\"\n",
    "df = pd.read_csv(data_file)\n",
    "\n",
    "# 提取年份列\n",
    "columns = df.columns[4:]\n",
    "\n",
    "# 初始化结果存储\n",
    "results = []\n",
    "\n",
    "# 遍历每一行\n",
    "for index, row in df.iterrows():\n",
    "    sport = row[\"Sport\"]\n",
    "    discipline = row[\"Discipline\"]\n",
    "    code = row[\"Code\"]\n",
    "    governing_body = row[\"Sports Governing Body\"]\n",
    "\n",
    "    # 找到从 0 变成非 0 的年份\n",
    "    for year in columns:\n",
    "        try:\n",
    "            value = int(row[year])\n",
    "            if value > 0:\n",
    "                results.append(\n",
    "                    {\n",
    "                        \"Sport\": sport,\n",
    "                        \"Discipline\": discipline,\n",
    "                        \"Code\": code,\n",
    "                        \"Sports Governing Body\": governing_body,\n",
    "                        \"Year\": year,\n",
    "                    }\n",
    "                )\n",
    "                break  # 找到第一个非零年份后跳出循环\n",
    "        except ValueError:\n",
    "            continue\n",
    "\n",
    "# 转换为 DataFrame\n",
    "results_df = pd.DataFrame(results)\n",
    "\n",
    "# 统计每年新增项目数量\n",
    "yearly_counts = results_df[\"Year\"].value_counts().sort_index()\n",
    "\n",
    "# 绘制折线图\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(\n",
    "    yearly_counts.index, yearly_counts.values, marker=\"o\", linestyle=\"-\", color=\"b\"\n",
    ")\n",
    "\n",
    "# 添加标题和标签\n",
    "plt.title(\"Number of new projects added each year\")\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Number of newly added projects\")\n",
    "\n",
    "# 显示网格\n",
    "plt.grid(True)\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA00AAAIhCAYAAACSQlG5AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAACGzElEQVR4nO3dd3gUVdvH8d+mkBAgIdRACBBBkF5FkBIChCYIYkPsiI8FRUDsjwKiYsWuWPGxN7ChlNCC9N4UETCAIL0kSAkp8/5x3k0ICSEbdjO7m+/nuvZiMzs7e+/smWHvPefc47AsyxIAAAAAIF8BdgcAAAAAAN6MpAkAAAAACkDSBAAAAAAFIGkCAAAAgAKQNAEAAABAAUiaAAAAAKAAJE0AAAAAUACSJgAAAAAoAEkTAAAAABSApAnAWX300UdyOBwKDQ3V9u3b8zzeuXNnNW7c2IbIpHnz5snhcOjbb7+15fVdtW3bNl122WWqUKGCHA6Hhg8fbndIPsHhcGjMmDEe2/4zzzyj77//3mPbd9W2bdvkcDj00UcfnXPdW265RbVr13br69euXVu33HKLW7fpLmPGjJHD4dCBAwfsDgVACRRkdwAAvF9aWpr++9//6pNPPrE7FJ81YsQILV26VB9++KGioqJUrVo1u0PyCYsXL1aNGjU8tv1nnnlGV111lfr37++x1wAA+D56mgCcU8+ePfX5559r7dq1dodS7E6cOCHLss57Oxs2bFCbNm3Uv39/tW3bVrVq1XJDdL7n+PHjLq3ftm1bjyZNgB3cdV4BUHxImgCc04MPPqiKFSvqoYceKnC9goYWnTnMyjnUZt26dbr66qsVERGhChUqaOTIkcrIyNCmTZvUs2dPlStXTrVr19bzzz+f72uePHlSI0eOVFRUlEqXLq24uDitXr06z3orVqzQ5ZdfrgoVKig0NFQtWrTQ119/nWsd53DEmTNnavDgwapcubLCwsKUlpZ21ve8Y8cO3XDDDapSpYpCQkLUoEEDvfTSS8rKypKUM4xwy5YtmjZtmhwOhxwOh7Zt23bWbTocDt1zzz365JNP1KBBA4WFhalZs2aaOnVqnnU3b96sQYMG5Xr9N998M/txy7JUtWpVDR06NHtZZmamIiMjFRAQoL1792YvnzBhgoKCgnTkyJGzxubcR4mJibr11ltVoUIFlSlTRn379tVff/2Va13n8M358+fr0ksvVVhYmAYPHlyo/Xb6vjhzeN6ePXt0xx13qEaNGipVqpRiY2M1duxYZWRk5FovLS1NTz75pBo0aKDQ0FBVrFhR8fHxWrRoUfa2jx07pv/973/Zn0vnzp0lmeRu1KhRio2NVWhoqCpUqKDWrVvriy++OOu+kaT9+/fr7rvvVsOGDVW2bFlVqVJFXbp00a+//ppn3X/++UfXXHONypUrp4iICF177bXas2fPWfd7/fr1s/fVxx9/nO96p06d0lNPPaWLLrpIISEhqly5sm699Vbt378/13rp6el68MEHFRUVpbCwMHXo0EHLli0r8L0V5XW++uorde/eXdWqVVPp0qXVoEEDPfzwwzp27FiebS5dulR9+/ZVxYoVFRoaqjp16uQ7jHXv3r267rrrFBERoapVq2rw4MFKSUkpMN5x48YpKChIf//9d57HBg8erIoVK+rkyZO54m7Xrp3KlCmjsmXLqkePHnnOKytWrNDAgQNVu3ZtlS5dWrVr19Z1112XZyhzUc4rALyQBQBnMWnSJEuStXz5cuvVV1+1JFmzZ8/OfjwuLs5q1KhR9t/JycmWJGvSpEl5tiXJGj16dPbfo0ePtiRZ9evXt8aNG2clJiZaDz74oCXJuueee6yLLrrIeu2116zExETr1ltvtSRZkydPzn7+3LlzLUlWTEyM1a9fP+unn36yPv30U6tu3bpWeHi4tXXr1ux158yZY5UqVcrq2LGj9dVXX1nTp0+3brnlljyxOt9vdHS09Z///MeaNm2a9e2331oZGRn57p99+/ZZ0dHRVuXKla2JEyda06dPt+655x5LknXXXXdZlmVZKSkp1uLFi62oqCirffv21uLFi63FixdbJ0+ePOt+l2TVrl3batOmjfX1119bv/zyi9W5c2crKCgo1/v67bffrIiICKtJkybWxx9/bM2cOdO6//77rYCAAGvMmDHZ6w0cONCqV69e9t9LliyxJFmlS5e2Pvvss+zlvXr1stq0aXPWuE7fRzExMdbgwYOtadOmWe+++65VpUoVKyYmxjp8+HD2unFxcVaFChWsmJgY6/XXX7fmzp1rJSUlFWq/nb4vTm83u3fvtmJiYqxatWpZ77zzjjVr1ixr3LhxVkhIiHXLLbdkr5eenm7Fx8dbQUFB1qhRo6xffvnF+vHHH61HH33U+uKLLyzLsqzFixdbpUuXtnr37p39ufz222+WZVnWHXfcYYWFhVkTJkyw5s6da02dOtV69tlnrddff73A/fPHH39Yd911l/Xll19a8+bNs6ZOnWrddtttVkBAgDV37tzs9Y4fP241aNDAioiIsF5//XVrxowZ1rBhw6yaNWuetV2e2c6d+8EpMzPT6tmzp1WmTBlr7NixVmJiovX+++9b0dHRVsOGDa3jx49nr3vzzTdbDofDeuCBB6yZM2daEyZMsKKjo63w8HDr5ptvLvA9uvI648aNs15++WXr559/tubNm2dNnDjRio2NteLj43Ntc/r06VZwcLDVtGlT66OPPrLmzJljffjhh9bAgQOz1zn9nPHEE09YiYmJ1oQJE6yQkBDr1ltvLTDmvXv3WiEhIdZjjz2Wa/nBgwet0qVLWw888ED2sqefftpyOBzW4MGDralTp1pTpkyx2rVrZ5UpUya7fViWZX3zzTfWE088YX333XdWUlKS9eWXX1pxcXFW5cqVrf379+f5/Ap7XgHgnUiaAJzV6UlTWlqadcEFF1itW7e2srKyLMtyT9L00ksv5VqvefPmliRrypQp2cvS09OtypUrWwMGDMhe5kyaWrZsmR2PZVnWtm3brODgYGvIkCHZyy666CKrRYsWVnp6eq7X6tOnj1WtWjUrMzMz1/u96aabCrV/Hn74YUuStXTp0lzL77rrLsvhcFibNm3KXlarVi3rsssuK9R2JVlVq1a1UlNTs5ft2bPHCggIsMaPH5+9rEePHlaNGjWslJSUXM+/5557rNDQUOvQoUOWZVnW+++/b0myduzYYVmWZT311FPWRRddZF1++eXZXzZPnTpllSlTxnr00UcLjM25j6644opcyxcuXGhJsp566qnsZXFxcXkSbctybb+d2W7uuOMOq2zZstb27dtzPffFF1+0JGV/qf34448tSdZ7771X4PspU6ZMvklC48aNrf79+xf43MLIyMiw0tPTra5du+baZ2+//bYlyfrhhx9yrX/77bfnOoYyMzOt6tWrn7Wdn540ffHFF3l+XLAsy1q+fLklyXrrrbcsy7KsjRs3WpKsESNG5Frvs88+sySdM2kq7OucKSsry0pPT7eSkpIsSdbatWuzH6tTp45Vp04d68SJE2d9Xec54/nnn8+1/O6777ZCQ0Nz7Z/83HzzzVaVKlWstLS07GXPPfecFRAQYCUnJ1uWZVk7duywgoKCrHvvvTfXc48ePWpFRUVZ11xzzVm3n5GRYf37779WmTJlrFdffTV7uavnFQDeieF5AAqlVKlSeuqpp7RixYo8w9rOR58+fXL93aBBAzkcDvXq1St7WVBQkOrWrZtvBb9BgwbJ4XBk/12rVi1deumlmjt3riRpy5Yt+uOPP3T99ddLkjIyMrJvvXv31u7du7Vp06Zc27zyyisLFfucOXPUsGFDtWnTJtfyW265RZZlac6cOYXaTn7i4+NVrly57L+rVq2qKlWqZO+DkydPavbs2briiisUFhaW532dPHlSS5YskSR169ZNkjRr1ixJUmJiohISEtStWzclJiZKMgUXjh07lr3uuTj3p9Oll16qWrVqZe93p8jISHXp0iXXsvPZb1OnTlV8fLyqV6+e6z0720tSUpIkadq0aQoNDc0eDuiqNm3aaNq0aXr44Yc1b948nThxotDPnThxolq2bKnQ0FAFBQUpODhYs2fP1saNG7PXmTt3rsqVK6fLL78813MHDRqU6+9Nmzbpn3/+OWs7P93UqVNVvnx59e3bN9e+ad68uaKiojRv3rzs15byfobXXHONgoLOXR+qsK8jSX/99ZcGDRqkqKgoBQYGKjg4WHFxcZKUvT/+/PNPbd26VbfddptCQ0PP+fpn7rOmTZvq5MmT2rdvX4HPu++++7Rv3z598803kqSsrCy9/fbbuuyyy7KrEM6YMUMZGRm66aabcr230NBQxcXF5Xpv//77rx566CHVrVtXQUFBCgoKUtmyZXXs2LFcn7VTYc8rALwTSROAQhs4cKBatmypxx57TOnp6W7ZZoUKFXL9XapUKYWFheX58lSqVKlccw6coqKi8l128OBBScqeszNq1CgFBwfnut19992SlKeEcWEr2x08eDDfdatXr579eFFVrFgxz7KQkJDsL+8HDx5URkaGXn/99Tzvq3fv3pJy3letWrVUp04dzZo1S8ePH9fixYuzk6adO3dq06ZNmjVrlkqXLp3ni/jZnGu/O+W3f85nv+3du1c//fRTnvfcqFGjXO95//79ql69ugICivbf3GuvvaaHHnpI33//veLj41WhQgX1799fmzdvLvB5EyZM0F133aVLLrlEkydP1pIlS7R8+XL17NkzV+J18OBBVa1aNc/zz9yvzn1xtv19ur179+rIkSMqVapUnv2zZ8+e7H1ztm0GBQXl2+7OVNjX+ffff9WxY0ctXbpUTz31lObNm6fly5drypQpkpS9P5zzoApb8OPMGENCQnJt72xatGihjh07Zs/5mzp1qrZt26Z77rkn13uTpIsvvjjPe/vqq69ynSsGDRqkN954Q0OGDNGMGTO0bNkyLV++XJUrV843FipmAr6NkuMACs3hcOi5555TQkKC3n333TyPOxOdMyc4n0/ycC75TZzfs2dP9herSpUqSZIeeeQRDRgwIN9t1K9fP9ffp/+iX5CKFStq9+7deZb/888/uV7bEyIjIxUYGKgbb7wxV5GH08XGxmbf79q1q3744QclJSUpKytLnTt3Vrly5VS9enUlJiZq1qxZ6tixY/YX0HM5236vW7durmX57cvz2W+VKlVS06ZN9fTTT+f7uDPxqly5shYsWKCsrKwiJU5lypTR2LFjNXbsWO3duze716lv3776448/zvq8Tz/9VJ07d9bbb7+da/nRo0dz/V2xYsV8Cy+cuV+d7fhs+/t0lSpVUsWKFTV9+vR8Y3P2XJ6+zejo6OzHMzIyCnWsFvZ15syZo3/++Ufz5s3L7l2SlKfQSOXKlSVJO3fuPOdrn69hw4bp6quv1qpVq/TGG2+oXr16SkhIyH7c2fa+/fbbAitcpqSkaOrUqRo9erQefvjh7OVpaWk6dOhQvs8p7HkFgHeipwmAS7p166aEhAQ9+eST+vfff3M9VrVqVYWGhmrdunW5lv/www8ei+eLL77IVbp3+/btWrRoUXYVtPr16+vCCy/U2rVr1bp163xvpw+Dc0XXrl31+++/a9WqVbmWf/zxx3I4HIqPjy/y+zqXsLAwxcfHa/Xq1WratGm+7+v0X+S7deumvXv36pVXXlHbtm2z33PXrl313Xffafny5YUemidJn332Wa6/Fy1apO3bt2fv94Kcz37r06ePNmzYoDp16uT7np1JU69evXTy5MlzXiT29N67s6latapuueUWXXfdddq0aVOBZdMdDkeexHPdunVavHhxrmXx8fE6evSofvzxx1zLP//881x/169fX9WqVTtrOz9dnz59dPDgQWVmZua7b5w/Djg/ozM/w6+//jpPBcL8FPZ1nEnCmfvjnXfeyfV3vXr1VKdOHX344Yceryh3xRVXqGbNmrr//vs1a9Ys3X333bmSmR49eigoKEhbt2496/nC+d4sy8rz3t5//31lZmZ69D0AsAc9TQBc9txzz6lVq1bat29f9rAoyXyRuOGGG/Thhx+qTp06atasmZYtW5bni6A77du3T1dccYVuv/12paSkaPTo0QoNDdUjjzySvc4777yjXr16qUePHrrlllsUHR2tQ4cOaePGjVq1alX2HAdXjRgxQh9//LEuu+wyPfnkk6pVq5Z+/vlnvfXWW7rrrrtUr149d73NfL366qvq0KGDOnbsqLvuuku1a9fW0aNHtWXLFv3000+55gZ16dIlu+zx2LFjs5d369ZNN998c/b9wlqxYoWGDBmiq6++Wn///bcee+wxRUdHZw95LMj57Lcnn3xSiYmJuvTSSzVs2DDVr19fJ0+e1LZt2/TLL79o4sSJqlGjhq677jpNmjRJd955pzZt2qT4+HhlZWVp6dKlatCggQYOHChJatKkiebNm6effvpJ1apVU7ly5VS/fn1dcskl6tOnj5o2barIyEht3LhRn3zyidq1a6ewsLCzxtenTx+NGzdOo0ePVlxcnDZt2qQnn3xSsbGxuRKSm266SS+//LJuuukmPf3007rwwgv1yy+/aMaMGbm2FxAQoHHjxmnIkCHZ7fzIkSMaM2ZMnuF1AwcO1GeffabevXvrvvvuU5s2bRQcHKydO3dq7ty56tevn6644go1aNBAN9xwg1555RUFBwerW7du2rBhg1588UWFh4ef8/Mr7OtceumlioyM1J133qnRo0crODhYn332Wb7Xe3vzzTfVt29ftW3bViNGjFDNmjW1Y8cOzZgxI09ydz4CAwM1dOhQPfTQQypTpoxuueWWXI/Xrl1bTz75pB577DH99ddf6tmzpyIjI7V3714tW7YsuwcyPDxcnTp10gsvvKBKlSqpdu3aSkpK0gcffKDy5cu7LV4AXsTWMhQAvNrp1fPONGjQIEtSrup5lmVKbA8ZMsSqWrWqVaZMGatv377Wtm3bzlo97/TSvJZlKlyVKVMmz+udWanPWT3vk08+sYYNG2ZVrlzZCgkJsTp27GitWLEiz/PXrl1rXXPNNVaVKlWs4OBgKyoqyurSpYs1ceLEQr3fs9m+fbs1aNAgq2LFilZwcLBVv35964UXXsiuyOfkavW8oUOH5lleq1atPJXNkpOTrcGDB1vR0dFWcHCwVblyZevSSy/NVcXOqUWLFpYka+HChdnLdu3aZUmyKlaseM7qY5aVs49mzpxp3XjjjVb58uWzy3Zv3rw517pnfmanK+x+k5SrfLplWdb+/futYcOGWbGxsVZwcLBVoUIFq1WrVtZjjz1m/fvvv9nrnThxwnriiSesCy+80CpVqpRVsWJFq0uXLtaiRYuy11mzZo3Vvn17KywszJJkxcXFWZZlKvy1bt3aioyMtEJCQqwLLrjAGjFihHXgwIEC909aWpo1atQoKzo62goNDbVatmxpff/999bNN9+cq9KdZVnWzp07rSuvvNIqW7asVa5cOevKK6+0Fi1alG8Fyvfffz/7fdSrV8/68MMP891menq69eKLL1rNmjWzQkNDrbJly1oXXXSRdccdd+T6fNLS0qz777/fqlKlihUaGmq1bdvWWrx4cb5tLD+FfZ1FixZZ7dq1s8LCwqzKlStbQ4YMsVatWpXve1y8eLHVq1cvKyIiwgoJCbHq1KmTq8Lf2c4ZzjbprIB3Ls7z0Z133nnWdb7//nsrPj7eCg8Pt0JCQqxatWpZV111lTVr1qzsdZyfX2RkpFWuXDmrZ8+e1oYNG/Lsw6KcVwB4H4dlcUlqAEDhfPTRR7r11lu1fPny7KFKnpKSkqLy5cvr9ddfzzVZHzgfr7/+uoYNG6YNGzbk6ikHgIIwPA8A4HWWLFmir776SpLUrl07m6OBP1i9erWSk5P15JNPql+/fiRMAFxC0gQA8DqDBg1SZmamXnrpJbVq1crucOAHrrjiCu3Zs0cdO3bUxIkT7Q4HgI9heB4AAAAAFICS4wAAAABQAJImAAAAACgASRMAAAAAFMCnC0FkZWXpn3/+Ubly5XJd0RsAAABAyWJZlo4eParq1asrIMC9fUM+nTT9888/iomJsTsMAAAAAF7i77//Vo0aNdy6TZ9OmsqVKyfJ7Jjw8HBbY0lPT9fMmTPVvXt3BQcH2xoLfBttCe5CW4K70JbgLrQluMPZ2lFqaqpiYmKycwR38umkyTkkLzw83CuSprCwMIWHh3MSwHmhLcFdaEtwF9oS3IW2BHc4VzvyxLQdCkEAAAAAQAFImgAAAACgACRNAAAAAFAAkiYAAAAAKABJEwAAAAAUgKQJAAAAAApA0gQAAAAABSBpAgAAAIACkDQBAAAAQAFImgAAAACgACRNAAAAAFAAkiYAAAAAKABJEwAAAAAUgKQJAAAAHpeZKSUlOTR/frSSkhzKzLQ7IqDwbE+adu3apRtuuEEVK1ZUWFiYmjdvrpUrV9odFgAAANxkyhSpdm0pISFIEya0VkJCkGrXNssBXxBk54sfPnxY7du3V3x8vKZNm6YqVapo69atKl++vJ1hAQAAwE2mTJGuukqyrNzLd+0yy7/9VhowwJ7YgMKyNWl67rnnFBMTo0mTJmUvq127tn0BAQAAwG0yM6X77subMElmmcMhDR8u9esnBQYWe3hAodmaNP3444/q0aOHrr76aiUlJSk6Olp33323br/99nzXT0tLU1paWvbfqampkqT09HSlp6cXS8xn43x9u+OA76MtwV1oS3AX2hKKKinJoZ07z/5107Kkv/+W5s7NUFxcPpkVkI+znZM8eY5yWFZ+uX/xCA0NlSSNHDlSV199tZYtW6bhw4frnXfe0U033ZRn/TFjxmjs2LF5ln/++ecKCwvzeLwAAAAovPnzozVhQutzrjdy5Ap16rSrGCKCPzt+/LgGDRqklJQUhYeHu3XbtiZNpUqVUuvWrbVo0aLsZcOGDdPy5cu1ePHiPOvn19MUExOjAwcOuH3HuCo9PV2JiYlKSEhQcHCwrbHAt9GW4C60JbgLbQlFlZTkUELCuQc2JSbS04TCO9s5KTU1VZUqVfJI0mTr8Lxq1aqpYcOGuZY1aNBAkydPznf9kJAQhYSE5FkeHBzsNSdxb4oFvo22BHehLcFdaEtwVXy8VKOGtHNn/o87HObx+Pgg5jTBZWeekzx5frK15Hj79u21adOmXMv+/PNP1apVy6aIAAAA4C6BgdKrr+b/mMNh/n3lFYpAwPvZmjSNGDFCS5Ys0TPPPKMtW7bo888/17vvvquhQ4faGRYAAADcpH9/Kb+RUjVqUG4cvsPWpOniiy/Wd999py+++EKNGzfWuHHj9Morr+j666+3MywAAAC4yZo1UmqqVLas9NNPGQoOzpQkTZ5MwgTfYeucJknq06eP+vTpY3cYAAAA8IDp082/3bpJPXpYatFiv5Ytq6bEROnii+2NDSgsW3uaAAAA4N+cSVOPHubfFi32SZJmzLApIKAISJoAAADgESkpkvMqMmcmTYsWmccBX0DSBAAAAI+YM0fKyJDq1ZNiY82yqKjjqlvXUkaGeRzwBSRNAAAA8AjnELyePXMv79EjK9fjgLcjaQIAAIDbWVbe+UxOCQmWJPO4ZRVzYEARkDQBAADA7f78U9q+XQoJkeLicj8WF2epVCnz+J9/2hMf4AqSJgAAALids5epUyepTJncj5UpY5afvh7gzUiaAAAA4HZnG5rn5FxO0gRfQNIEAAAAtzpxQkpKMvfPLALh5FyelGTWB7wZSRMAAADc6tdfTSIUHS01bJj/Oo0amcdPnDDrA96MpAkAAABudXqpcYcj/3UcjpwhepQeh7cjaQIAAIBbnWs+kxPzmuArSJoAAADgNn//Lf3+uxQQIHXrVvC63bqZ9X7/3TwP8FYkTQAAAHAb51C7tm2lyMiC161QQbrkktzPA7wRSRMAAADcprBD85wYogdfQNIEAAAAt8jIkGbNMvfPVmr8TM71Zs0yzwe8EUkTAAAA3GLpUiklxQy7a9WqcM9p3dqsn5Jing94I5ImAAAAuIVzXlL37lJgYOGeExgoJSTkfj7gbUiaAAAA4BauzmdyYl4TvB1JEwAAAM7bgQPSihXmflGTphUrzHYAb0PSBAAAgPOWmChZltSsmVStmmvPrV5datrUPD8x0TPxAeeDpAkAAADnrahD85wYogdvRtIEAACA85KVlVPEobClxs/kfN6MGWZ7gDchaQIAAMB5WbdO2rtXKlNGat++aNto314KCzPbWbfOvfEB54ukCQAAAOfF2cvUpYtUqlTRthESYp5/+vYAb0HSBAAAgPNyvvOZnJjXBG9F0gQAAIAiO3pUWrjQ3C/qfCYn5/MXLjTbBbwFSRMAAACKbO5cKT1dqltXqlPn/Lbl3EZ6utku4C1ImgAAAFBk7hqa58QQPXgjkiYAAAAUiWXlJDfnOzTPybmd6dPN9gFvQNIEAACAItmyRUpOloKDpc6d3bPN+HizveRks33AG5A0AQAAoEicpcE7dpTKlnXPNsuWlTp0yL19wG4kTQAAACgSd89ncmJeE7wNSRMAAABclpaWU+HOXfOZnJzbmzvXvA5gN5ImAAAAuGzBAun4calaNalJE/duu2lTKSrKbH/BAvduGygKkiYAAAC47PSheQ6He7ftcDBED96FpAkAAAAucxZpcPfQPCfndikGAW9A0gQAAACX7NolrV9veoS6dfPMayQkmO2vX29eD7ATSRMAAABcMnOm+bdNG6liRc+8RsWK0sUX5349wC4kTQAAAHCJp0qNn8k5RI95TbAbSRMAAAAKLTNTSkw09z01n8nJmZQlJprXBexC0gQAAIBCW75cOnxYiozMGT7nKW3aSOXLm9dbvtyzrwUUhKQJAAAAheYcKtetmxQU5NnXCgrKKTTBED3YiaQJAAAAhebpUuNnovQ4vAFJEwAAAArl0CFp2TJzv3v34nlN57ymZcvM6wN2IGkCAABAocyaJWVlSY0bSzVqFM9r1qghNWpkXnfWrOJ5TeBMJE0AAAAolOIqNX4mSo/DbiRNAAAAOCfLKv75TE7OJG3GDBMHUNxImgAAAHBOGzZI//wjhYVJHToU72t37CiVLm1ef8OG4n1tQCJpAgAAQCE4h8Z17iyFhhbva4eGmtc9PQ6gOJE0AQAA4JzsGprnROlx2ImkCQAAAAU6dkz69Vdzv7iLQDg5X/fXX008QHEiaQIAAECB5s2TTp2SYmOlCy+0J4Z69aTatU0c8+bZEwNKLpImAAAAFOj0UuMOhz0xOByUHod9SJoAAABQIGeSYtd8JifnED2SJhQ3kiYAAACc1dat0pYtUlCQ1KWLvbF06WLi2LLFxAUUF5ImAAAAnJWzWl379lK5cvbGEh4uXXqpuU8VPRQnkiYAAACcld2lxs9E6XHYgaQJAAAA+Tp1Spozx9y3q9T4mZxxzJlj4gOKA0kTAAAA8rVokfTvv1LVqlKzZnZHYzRvLlWpYuJatMjuaFBSkDQBAAAgX84qdd27SwFe8q0xIIAqeih+XtL8AQAA4G28pdT4mUiaUNxImgAAAJDH7t3S2rXmorIJCXZHk1v37iautWtNnICnkTQBAAAgj5kzzb+tWkmVK9sby5kqV5ZatjT3nXECnkTSBAAAgDy8rdT4mSg9juJE0gQAAIBcMjNzenC8pdT4mZxxzZxp4gU8iaQJAAAAuaxaJR08KEVESG3b2h1N/tq2lcLDTZyrVtkdDfwdSRMAAABycVal69pVCgqyN5azCQ6WunUz96miB08jaQIAAEAu3lpq/EyUHkdxIWkCAABAtsOHpSVLzH1vnc/k5IxvyRITN+ApJE0AAADINnu2lJUlNWgg1axpdzQFq1VLuugiE+/s2XZHA39G0gQAAIBs3l5q/EyUHkdxIGkCAACAJMmycuYHefvQPKfT5zVZlr2xwH/ZmjSNGTNGDocj1y0qKsrOkAAAAEqsjRulnTul0FCpUye7oymcuDgT786dJn7AE2zvaWrUqJF2796dfVu/fr3dIQEAAJRIzl6muDipdGl7Yyms0qVNvBJV9OA5tidNQUFBioqKyr5VrlzZ7pAAAABKJF8pNX4mSo/D02y/XNnmzZtVvXp1hYSE6JJLLtEzzzyjCy64IN9109LSlJaWlv13amqqJCk9PV3p6enFEu/ZOF/f7jjg+2hLcBfaEtyFtlQyHD8uzZ8fJMmhrl3T5YmP21NtqWtXSQrW/PmWUlIyFBbm1s3Dy5ytHXnyHOWwLPumzE2bNk3Hjx9XvXr1tHfvXj311FP6448/9Ntvv6lixYp51h8zZozGjh2bZ/nnn3+uMI4OAACAIlu5sorGjWunypWP6913E+Vw2B1R4VmWdPvtCTpwIEyPP75YrVrtszsk2OD48eMaNGiQUlJSFB4e7tZt25o0nenYsWOqU6eOHnzwQY0cOTLP4/n1NMXExOjAgQNu3zGuSk9PV2JiohISEhQcHGxrLPBttCW4C20J7kJbKhnuvz9Ar78eqCFDMvXWW1keeQ1PtqW77grUBx8E6N57M/XSS56JH97hbO0oNTVVlSpV8kjSZPvwvNOVKVNGTZo00ebNm/N9PCQkRCEhIXmWBwcHe81J3JtigW+jLcFdaEtwF9qSf5s50/zbq1eggoMDPfpanmhLvXpJH3wgzZzp+fjhHc5sR548P9leCOJ0aWlp2rhxo6pVq2Z3KAAAACXGtm3Spk1SYKBzfpDv6drVxL9pk3k/gDvZmjSNGjVKSUlJSk5O1tKlS3XVVVcpNTVVN998s51hAQAAlCgzZph/27WTIiLsjaWoypc38Us57wdwF1uTpp07d+q6665T/fr1NWDAAJUqVUpLlixRrVq17AwLAACgRPHVUuNnovQ4PMXWOU1ffvmlnS8PAABQ4qWnS7Nnm/vOpMNX9ewpPf64eT/p6RJT8OAuXjWnCQAAAMVr8WLp6FGpUiWpZUu7ozk/LVua93H0qHlfgLuQNAEAAJRgzvk/PXpIAT7+zTAgQOre3dxnXhPcyccPDQAAAJwP5/wfXx+a58S8JngCSRMAAEAJtW+ftGqVue/sofF1zvexapV5f4A7kDQBAACUUM4L2rZoIVWtam8s7hIVZd6PlPP+gPNF0gQAAFBC+Uup8TMxRA/uRtIEAABQAmVl5fTE+Mt8JidnEjhzpnmfwPk676QpMzNTa9as0eHDh90RDwAAAIrB6tXS/v1SuXJSu3Z2R+Ne7dpJZcua97d6td3RwB+4nDQNHz5cH3zwgSSTMMXFxally5aKiYnRvHnz3B0fAAAAPMBZkrtrV6lUKXtjcbdSpcz7kig9DvdwOWn69ttv1axZM0nSTz/9pOTkZP3xxx8aPny4HnvsMbcHCAAAAPfzt1LjZ2JeE9zJ5aTpwIEDioqKkiT98ssvuvrqq1WvXj3ddtttWr9+vdsDBAAAgHulpEiLF5v7/p40LV5s3i9wPlxOmqpWrarff/9dmZmZmj59urp16yZJOn78uAIDA90eIAAAANxrzhwpI0OqV0+KjbU7Gs+44ALz/jIyzPsFzofLSdOtt96qa665Ro0bN5bD4VBCQoIkaenSpbrooovcHiAAAADcy19LjZ+JIXpwlyBXnzBmzBg1btxYf//9t66++mqFhIRIkgIDA/Xwww+7PUAAAAC4j2XlFEfw16F5Tj17Sq+/bt6vZUkOh90RwVe5nDR9/PHHuvbaa7OTJafrrrtOX375pdsCAwAAgPtt2iRt3y6FhEhxcXZH41lxcaaS3vbt5n0zKApFVaTheSn5zKY7evSobr31VrcEBQAAAM9w9jJ16iSVKWNvLJ5Wpox5nxKlx3F+XE6aLMuSI5++zZ07dyoiIsItQQEAAMAz/L3U+JmY1wR3KPTwvBYtWsjhcMjhcKhr164KCsp5amZmppKTk9XT32cTAgAA+LATJ6SkJHO/pHxt69lTeuAB875PnJBKl7Y7IviiQidN/fv3lyStWbNGPXr0UNmyZbMfK1WqlGrXrq0rr7zS7QECAADAPX791SQO0dFSw4Z2R1M8GjUy73fXLvP+u3e3OyL4okInTaNHj5Yk1a5dWwMHDsxTCAIAAADe7fRS4yWlkpzDYYboffihef8kTSgKl+c0NWzYUGvWrMmzfOnSpVqxYoU7YgIAAIAHlJRS42dyDkWkGASKyuWkaejQofr777/zLN+1a5eGDh3qlqAAAADgXn//Lf3+uxQQIHXrZnc0xatbN/O+f//d7AfAVS4nTb///rtatmyZZ3mLFi30+++/uyUoAAAAuJezl6VtWyky0t5YiltkpHTJJeY+vU0oCpeTppCQEO3duzfP8t27d+eqqAcAAADvUdJKjZ+J0uM4Hy4nTQkJCXrkkUdyXeD2yJEjevTRR5WQkODW4AAAAHD+MjKkWbPM/ZJSavxMzvc9a5bZH4ArXO4aeumll9SpUyfVqlVLLVq0kGTKkFetWlWffPKJ2wMEAADA+Vm6VEpJkSpUkFq1sjsae7Rubd7/oUNmf7Rvb3dE8CUu9zRFR0dr3bp1ev7559WwYUO1atVKr776qtavX6+YmBhPxAgAAIDz4ByS1r27FBhobyx2CQyUnIOiGKIHVxVpElKZMmX0n//8x92xAAAAwANKaqnxM/XsKX31ldkf48bZHQ18ics9TZL0ySefqEOHDqpevbq2b98uSXr55Zf1ww8/uDU4AAAAnJ8DByTnpTRLetLkvLDtihVmvwCF5XLS9Pbbb2vkyJHq1auXDh8+rMzMTElSZGSkXnnlFXfHBwAAgPOQmChZltSsmVStmt3R2Kt6dalpU7M/EhPtjga+xOWk6fXXX9d7772nxx57LFeJ8datW2v9+vVuDQ4AAADnp6SXGj+Ts4oe85rgCpeTpuTk5OyqeacLCQnRsWPH3BIUAAAAzl9WVs58ppJaavxMzuRxxgyzf4DCcDlpio2N1Zo1a/IsnzZtmho2bOiOmAAAAOAG69ZJe/dKZcpQYtupfXuzP/buNfsHKAyXq+c98MADGjp0qE6ePCnLsrRs2TJ98cUXGj9+vN5//31PxAgAAIAicA5B69JFKlXK3li8RUiIFB8vTZ1q9k/z5nZHBF/gctJ06623KiMjQw8++KCOHz+uQYMGKTo6Wq+++qoGDhzoiRgBAABQBJQaz1/PniZpmjFDevhhu6OBLyjSdZpuv/123X777Tpw4ICysrJUpUoVd8cFAACA83D0qLRggbnPfKbcnEnkggVmP5UrZ2888H5Fuk6TU6VKlUiYAAAAvNDcuVJGhlS3rlSnjt3ReBfnPsnIMPsJOJdC9TS1bNlSs2fPVmRkpFq0aCGHw3HWdcuWLatGjRrp0UcfVUxMjNsCBQAAQOFRarxgPXtKb75p9tPll9sdDbxdoZKmfv36KSQkRJLUv3//AtdNS0vT7NmzdcMNNygpKem8AwQAAIBrLCsnaWJoXv569MhJmixLKqBPAChc0jR69Oh875/N1q1b1ahRo6JHBQAAgCLbskVKTpaCg6XOne2OxjvFx5v9k5xs9teFF9odEbxZkec07d+/XwsWLNDChQu1f//+XI/VqVNHe/fuPe/gAAAA4DpnL1PHjlLZsvbG4q3KlpU6dDD3nfsLOBuXk6Zjx45p8ODBql69ujp16qSOHTuqevXquu2223T8+PHs9SIiItwaKAAAAAqHUuOF4xy66NxfwNm4nDSNHDlSSUlJ+vHHH3XkyBEdOXJEP/zwg5KSknT//fd7IkYAAAAUUlpaTkU45jMVzJlUzp1r9htwNi4nTZMnT9YHH3ygXr16KTw8XOHh4erdu7fee+89ffvtt56IEQAAAIW0YIF0/LhUrZrUpInd0Xi3pk2lqCizv5zXtALy43LSdPz4cVWtWjXP8ipVquQangcAAIDid3qpcSrCFczhyOmNY14TCuJy0tSuXTuNHj1aJ0+ezF524sQJjR07Vu3atXNrcAAAAHANpcZd4xyiR9KEghSq5PjpXnnlFfXq1Us1atRQs2bN5HA4tGbNGoWGhmoGs+gAAABss2uXtGGD6UHp1s3uaHxDQoLZXxs2mP0XHW13RPBGLvc0NWnSRJs3b9b48ePVvHlzNW3aVM8++6w2b97MtZkAAABs5Pz9uk0bqWJFe2PxFRUrShdfbO7z+z/OxqWepvT0dNWvX19Tp07V7bff7qmYAAAAUASUGi+anj2lZcvM/hs82O5o4I1c6mkKDg5WWlqaHMwqBAAA8CqZmVJiornPfCbXOJPMxESzH4EzuTw8795779Vzzz2njIwMT8QDAACAIli+XDp8WIqMzBluhsJp00YqX97sv+XL7Y4G3sjlQhBLly7V7NmzNXPmTDVp0kRlypTJ9fiUKVPcFhwAAAAKx1n9rVs3Kcjlb3glW1CQKQjxzTdmP7Zta3dE8DYuH1Lly5fXlVde6YlYAAAAUESUGj8/PXrkJE1jxtgdDbyNy0nTpEmTPBEHAAAAiujgwZxhZd272xuLr3LOa1q+3OxPqg/idC7PaXLat2+ffv31Vy1YsED79u1zZ0wAAABwwaxZUlaW1LixVKOG3dH4pho1pEaNzH6cNcvuaOBtXE6aUlNTdeONNyo6OlpxcXHq1KmToqOjdcMNNyglJcUTMQIAAKAAlBp3D+fQRq7XhDO5nDQNGTJES5cu1dSpU3XkyBGlpKRo6tSpWrFiBdduAgAAKGaWlfMln/lM58eZdM6YYfYr4OTynKaff/5ZM2bMUIcOHbKX9ejRQ++99556cqQCAAAUqw0bpH/+kcLCpNO+nqEIOnaUSpc2+3PDBqlJE7sjgrdwuaepYsWKioiIyLM8IiJCkZGRbgkKAAAAheOsmte5sxQaamsoPi80VIqPN/ed+xWQipA0/fe//9XIkSO1e/fu7GV79uzRAw88oMcff9ytwQEAAKBglBp3L+cQPZImnM7l4Xlvv/22tmzZolq1aqlmzZqSpB07digkJET79+/XO++8k73uqlWr3BcpAAAAcvn3X2nBAnOfIhDu4Uw+Fyww+7dsWXvjgXdwOWnq37+/B8IAAACAq+bNk06dkmJjpQsvtDsa/3DhhVLt2tK2bWb/9uljc0DwCi4nTaNHj/ZEHAAAAHDR6aXGHQ57Y/EXDofpbZo40exfkiZI53FxWwAAANiL+UyewbwmnImkCQAAwAdt3Spt2SIFBUldutgdjX/p0sXs1y1bzH4GSJoAAAB8kHNoXvv2Urly9sbib8LDzX6VcvYzSjaSJgAAAB/E0DzPYogeTkfSBAAA4GNOnZLmzDH3KTXuGc5kdM4cs79RshWqet7IkSMLvcEJEyYUORgAAACc28KF0rFjUtWqUrNmdkfjn5o1k6pUkfbtM/s7Pt7uiGCnQiVNq1evzvX3ypUrlZmZqfr160uS/vzzTwUGBqpVq1bujxAAAAC5OOfZdO8uBTBuyCMCAkwv3iefmP1N0lSyFSppmjt3bvb9CRMmqFy5cvrf//6nyMhISdLhw4d16623qmPHjp6JEgAAANmYz1Q8nEnT9OnSs8/aHQ3s5PJvEy+99JLGjx+fnTBJUmRkpJ566im99NJLbg0OAAAAue3eLa1day7CmpBgdzT+rXt3s5/XrjX7HSWXy0lTamqq9u7dm2f5vn37dPToUbcEBQAAgPzNnGn+bdVKqlzZ3lj8XeXKZj9LOfsdJZPLSdMVV1yhW2+9Vd9++6127typnTt36ttvv9Vtt92mAQMGFDmQ8ePHy+FwaPjw4UXeBgAAgL9jaF7xovQ4pCIkTRMnTtRll12mG264QbVq1VKtWrV0/fXXq1evXnrrrbeKFMTy5cv17rvvqmnTpkV6PgAAQEmQmSklJpr7lBovHs7kNDHR7H+UTC4nTWFhYXrrrbd08OBBrV69WqtWrdKhQ4f01ltvqUyZMi4H8O+//+r666/Xe++9l2ueFAAAAHJbuVI6eFCKiJDatrU7mpLhkkuk8HCz31eutDsa2KVQ1fPys3v3bu3evVudOnVS6dKlZVmWHA6Hy9sZOnSoLrvsMnXr1k1PPfVUgeumpaUpLS0t++/U1FRJUnp6utLT011+bXdyvr7dccD30ZbgLrQluAttyXv88kuApEDFx2fJsjLlax+Jr7alLl0C9f33Afrll0y1aJFldzgl3tnakSfblctJ08GDB3XNNddo7ty5cjgc2rx5sy644AINGTJE5cuXd6mC3pdffqlVq1Zp+fLlhVp//PjxGjt2bJ7lM2fOVFhYWKFf15MSnX3mwHmiLcFdaEtwF9qS/b76qoOkiqpefZ1++WW73eEUma+1pWrVaklqrq++OqIWLRbYHQ7+35nt6Pjx4x57LYdlWZYrT7jpppu0b98+vf/++2rQoIHWrl2rCy64QDNnztSIESP022+/FWo7f//9t1q3bq2ZM2eq2f9fyrpz585q3ry5XnnllXyfk19PU0xMjA4cOKDw8HBX3obbpaenKzExUQkJCQoODrY1Fvg22hLchbYEd6EteYfDh6Vq1YKUleXQli3pqlnT7ohc56ttaft26cILgxUQYGn37gwxo8ReZ2tHqampqlSpklJSUtyeG7jc0zRz5kzNmDFDNWrUyLX8wgsv1Pbthf/FY+XKldq3b59aOes4SsrMzNT8+fP1xhtvKC0tTYGBgbmeExISopCQkDzbCg4O9poDz5tigW+jLcFdaEtwF9qSvebPl7KypAYNpDp1fPtz8LW2VLeu2e8bNzo0f36wrrrK7ogg5W1HnmxTLheCOHbsWL5D4Q4cOJBvQnM2Xbt21fr167VmzZrsW+vWrXX99ddrzZo1eRImAACAkoxS4/ai9HjJ5nLS1KlTJ3388cfZfzscDmVlZemFF15QfHx8obdTrlw5NW7cONetTJkyqlixoho3buxqWAAAAH7LsqQZM8x9So3bw5mszphhPg+ULC4Pz3vhhRfUuXNnrVixQqdOndKDDz6o3377TYcOHdLChQs9ESMAAECJ9vvv0s6dUmio1KmT3dGUTJ06mf2/c6f5PBo1sjsiFCeXk6aGDRtq3bp1evvttxUYGKhjx45pwIABGjp0qKpVq3ZewcybN++8ng8AAOCPnL1McXFS6dL2xlJSlS5t9v+MGeZG0lSyFOk6TVFRUfmW/gYAAID7MZ/JO/ToYRKm6dOlkSPtjgbFqVBJ07p16wq9waZNmxY5GAAAAOR2/LipnCeRNNmtZ0+TLM2fbz4XL7lMKIpBoZKm5s2by+FwyLIsORyO7OXOSzydviwzM9PNIQIAAJRcSUlSWppUs6ZUv77d0ZRsF11kPocdO8zn0quX3RGhuBSqel5ycrL++usvJScna/LkyYqNjdVbb72VXSr8rbfeUp06dTR58mRPxwsAAFCinD4077TfqWEDh4PS4yVVoXqaatWqlX3/6quv1muvvabevXtnL2vatKliYmL0+OOPq3///m4PEgAAoKSi1Lh36dlTeu+9nM8FJYPL12lav369YmNj8yyPjY3V77//7pagAAAAIG3bJm3aJAUGSl272h0NJPM5BAaaz2XbNrujQXFxOWlq0KCBnnrqKZ08eTJ7WVpamp566ik1aNDArcEBAACUZM7ejHbtpIgIe2OBERFhPg+J3qaSxOWS4xMnTlTfvn0VExOjZs2aSZLWrl0rh8OhqVOnuj1AAACAkopS496pRw9pwQLz+dxxh93RoDi4nDS1adNGycnJ+vTTT/XHH3/Isixde+21GjRokMqUKeOJGAEAAEqc9HRp9mxzn6TJu/TsKT3+uPl80tOl4GC7I4KnFenitmFhYfrPf/7j7lgAAADw/xYvlo4elSpXllq0sDsanK5lS6lSJenAAfM5depkd0TwtEIlTT/++GOhN3j55ZcXORgAAAAYzqF53btLAS7PQocnBQSYz+Xzz83nRNLk/wqVNJ1ZRtx5odszl0lc3BYAAMAdKDXu3Xr2NEnTjBnSM8/YHQ08rVC/W2RlZWXfZs6cqebNm2vatGk6cuSIUlJSNG3aNLVs2VLTucoXAADAedu7V1q1ytzv3t3eWJA/5+eyapX5vODfXJ7TNHz4cE2cOFEdOnTIXtajR4/seU4bN250a4AAAAAlTWKi+bdFC6lqVXtjQf6qVjWfz+rV5vO64Qa7I4InuTxCduvWrYrI50IBERER2sYVvgAAAM4bpcZ9g3PoJIOt/J/LSdPFF1+s4cOHa/fu3dnL9uzZo/vvv19t2rRxa3AAAAAlTVZWznwmkibv5vx8Zswwnxv8l8tJ04cffqh9+/apVq1aqlu3rurWrauaNWtq9+7d+uCDDzwRIwAAQImxerUpZV2unNSund3RoCDt2pnP6cAB87nBf7k8p6lu3bpat26dEhMTsy9u27BhQ3Xr1i27gh4AAACKxjnUq2tXLprq7UqVkrp0kX74wXxurVrZHRE8pUgXt3U4HOrevbu6U84FAADArSg17lt69jRJ04wZ0mOP2R0NPKVISdOxY8eUlJSkHTt26NSpU7keGzZsmFsCAwAAKGlSUqRFi8x9kibf4PycFi0yn18+9dLgB1xOmlavXq3evXvr+PHjOnbsmCpUqKADBw4oLCxMVapUIWkCAAAoojlzpMxMqV49KTbW7mhQGLGx5vP680/z+V1xhd0RwRNcLgQxYsQI9e3bV4cOHVLp0qW1ZMkSbd++Xa1atdKLL77oiRgBAABKBEqN+ybn50Xpcf/lctK0Zs0a3X///QoMDFRgYKDS0tIUExOj559/Xo8++qgnYgQAAPB7lkXS5KtOv16TZdkbCzzD5aQpODg4u0pe1apVtWPHDknm4rbO+wAAAHDNpk3Sjh1SSIgUF2d3NHBFXJz53HbsMJ8j/I/LSVOLFi20YsUKSVJ8fLyeeOIJffbZZxo+fLiaNGni9gABAABKAmcvU6dOUliYvbHANWXKSB07mvsM0fNPLidNzzzzjKpVqyZJGjdunCpWrKi77rpL+/bt07vvvuv2AAEAAEoCSo37NueQSufnCP/icvW81q1bZ9+vXLmyfvnlF7cGBAAAUNKcOCHNm2fuM5/JN/XoIY0aZT7HEyek0qXtjgju5HJPEwAAANzr11+lkyel6GipYUO7o0FRNGpkPr+TJ83nCf9C0gQAAGCz06vm/X+9LfgYh4PS4/6MpAkAAMBmlBr3D6eXHod/IWkCAACw0Y4d0saNUkCA1LWr3dHgfHTrZj7HjRvN5wr/4XLSlJyc7Ik4AAAASiRntbW2baXISHtjwfmJjJQuucTcp4qef3E5aapbt67i4+P16aef6uTJk56ICQAAoMSg1Lh/ofS4f3I5aVq7dq1atGih+++/X1FRUbrjjju0bNkyT8QGAADg1zIypFmzzH3mM/kHZ/I7a5b5fOEfXE6aGjdurAkTJmjXrl2aNGmS9uzZow4dOqhRo0aaMGGC9u/f74k4AQAA/M7SpVJKilShgtSqld3RwB1atzafZ0qK+XzhH4pcCCIoKEhXXHGFvv76az333HPaunWrRo0apRo1auimm27S7t273RknAACA33FWWeveXQoMtDcWuEdgoPk8Jaro+ZMiJ00rVqzQ3XffrWrVqmnChAkaNWqUtm7dqjlz5mjXrl3q16+fO+MEAADwO5Qa90+UHvc/Qa4+YcKECZo0aZI2bdqk3r176+OPP1bv3r0VEGDyr9jYWL3zzju66KKL3B4sAACAv9i/X1q50tx39kzAPziTppUrzedcubK98eD8udzT9Pbbb2vQoEHasWOHvv/+e/Xp0yc7YXKqWbOmPvjgA7cFCQAA4G8SEyXLkpo1k6pVszsauFO1alLTpubzTUy0Oxq4g8s9TZs3bz7nOqVKldLNN99cpIAAAABKAkqN+7eePaV168znPGiQ3dHgfBUqaVq3bl2hN9i0adMiBwMAAFASZGXlJE3MZ/JPPXpIzz9vPuesLCmgyJUE4A0KlTQ1b95cDodDlmXl+7jzMYfDoczMTLcGCAAA4G/WrpX27pXKlJHat7c7GnhC+/bm89271/Q4NW9ud0Q4H4VKmpKTkz0dBwAAQInh7GXq0kUqVcreWOAZISHm8/3pJ1NFj6TJtxUqaapVq5an4wAAACgxKDVeMvTokZM0Pfyw3dHgfLg8urJ69eoaNGiQ3n33XW3atMkTMQEAAPito0elhQvNfYpA+DdnUrxwofnc4btcTppeeuklhYeHa8KECWrQoIGqVaumgQMHauLEidq4caMnYgQAAPAbc+ZIGRlS3bpSnTp2RwNPqlPH3DIyzOcO3+Vy0nTddddp4sSJ+uOPP7R79269/PLLCgoK0r333qvGjRt7IkYAAAC/QanxksXZ2+T83OGbXL5OkyT9+++/WrBggZKSkjRv3jytXr1aTZo0UVxcnLvjAwAA8BuWJU2bZu4zn6lk6NFDevNN87lbluRw2B0RisLlpOmSSy7RunXr1LhxY3Xu3FmPPvqoOnbsqPLly3sgPAAAAP+xebO0bZsUHCx17mx3NCgO8fHm8962zXz+9erZHRGKwuXheZs3b1ZYWJguuOACXXDBBapbty4JEwAAQCE4h2h17CiVLWtvLCgeZcuaz1tiiJ4vczlpOnTokObOnav27dtr1qxZiouLU1RUlK699lpNnDjREzECAAD4BUqNl0zO+WvOzx++x+WkSZKaNm2qYcOGafLkyZo2bZp69eqlKVOmaOjQoe6ODwAAwC+cPCnNm2fuUwSiZHEmyfPmmXYA3+PynKbVq1dr3rx5mjdvnn799VcdPXpUzZo103333af4+HhPxAgAAODzFiyQjh+XqlWTmjSxOxoUpyZNzOe+e7dpB9262R0RXOVy0nTxxRerRYsWiouL0+23365OnTopPDzcE7EBAAD4jdNLjVNBrWRxOMzn/tFHph2QNPkel5OmQ4cOkSQBAAC4iPlMJZszaZo+XXrhBbujgatcntMUHh6uI0eO6P3339cjjzyiQ4cOSZJWrVqlXbt2uT1AAAAAX7dzp7Rhg+lxoJehZEpIMJ//hg2mPcC3uJw0rVu3ThdeeKGee+45vfjiizpy5Igk6bvvvtMjjzzi7vgAAAB83syZ5t82baSKFe2NBfaoWNF8/lJOe4DvcDlpGjlypG699VZt3rxZoaGh2ct79eql+fPnuzU4AAAAf8DQPEiUHvdlLidNy5cv1x133JFneXR0tPbs2eOWoAAAAPxFRoY0a5a5T6nxks2ZNM+aZdoFfIfLSVNoaKhSU1PzLN+0aZMqV67slqAAAAD8xfLl0uHDUmSkdPHFdkcDO118sVS+vGkPy5fbHQ1c4XLS1K9fPz355JNKT0+XJDkcDu3YsUMPP/ywrrzySrcHCAAA4Mucpca7dZOCXK5bDH8SFGQKQkg57QK+weWk6cUXX9T+/ftVpUoVnThxQnFxcapbt67KlSunp59+2hMxAgAA+CzmM+F0zGvyTS7/3hEeHq4FCxZozpw5WrVqlbKystSyZUt1o34mAABALgcPSsuWmfvdu9sbC7yDM2latsy0D6op+oYidxJ36dJFXbp0cWcsAAAAfmXWLMmypMaNpRo17I4G3qBGDdMeNmww7ePaa+2OCIVRpKRp9uzZmj17tvbt26esrKxcj3344YduCQwAAMDXMTQP+enRwyRN06eTNPkKl+c0jR07Vt27d9fs2bN14MABHT58ONcNAAAApofJOdmfUuM4nTOJnjHDtBN4P5d7miZOnKiPPvpIN954oyfiAQAA8Avr10u7d0thYVKHDnZHA2/SoYNUurRpH+vXS02b2h0RzsXlnqZTp07p0ksv9UQsAAAAfsPZy9S5sxQaamso8DKhoVJ8vLlP6XHf4HLSNGTIEH3++eeeiAUAAMBvMJ8JBaH0uG9xeXjeyZMn9e6772rWrFlq2rSpgoODcz0+YcIEtwUHAADgi/79V/r1V3Of+UzIjzOZ/vVX017KlrU3HhTM5aRp3bp1at68uSRpw4YNuR5zOBxuCQoAAMCXzZsnpadLsbHShRfaHQ280YUXmvaRnGzaS58+dkeEgricNM2dO9cTcQAAAPiN04fm8Zsy8uNwmF7IiRNNeyFp8m4uz2lCXpmZUlKSQ/PnRyspyaHMTLsjAgAAdqLUOArj9NLj8G62Jk1vv/22mjZtqvDwcIWHh6tdu3aaNm2anSG5bMoUqXZtKSEhSBMmtFZCQpBq1zbLAQBAybN1q7RlixQUJHXpYnc08Gbx8aadbNli2g28l61JU40aNfTss89qxYoVWrFihbp06aJ+/frpt99+szOsQpsyRbrqKmnnztzLd+0yy0mcAAAoeZy9Bu3bS+XK2RsLvFt4uGknEr1N3s7WpKlv377q3bu36tWrp3r16unpp59W2bJltWTJEjvDKpTMTOm++/K/irNz2fDhYqgeAAAlDKXG4QpKj/uGQhWCaNmypWbPnq3IyEg9+eSTGjVqlMLCwtwaSGZmpr755hsdO3ZM7dq1y3edtLQ0paWlZf+dmpoqSUpPT1d6erpb4zmXpCSHdu48++6zLOnvv6W5czMUF5dPZgWchbMtF3ebhv+hLcFdaEuFd+qUNGdOkCSHunRJF7ssN9pSXl27SlKw5syxdOxYhkqVsjsi73e2duTJduWwrPz6SnIrXbq0Nm/erBo1aigwMFC7d+9WlSpV3BLA+vXr1a5dO508eVJly5bV559/rt69e+e77pgxYzR27Ng8yz///HO3J3HnMn9+tCZMaH3O9Vq23KPrr/9DF1yQQvUcAAD83Pr1lfT44+1VvvxJffjhDAVQcgvnkJUlDR7cQ0eOhGrcuIVq0uSA3SH5rOPHj2vQoEFKSUlReHi4W7ddqKSpXbt2Klu2rDp06KCxY8dq1KhRKnuWK3A98cQTLgVw6tQp7dixQ0eOHNHkyZP1/vvvKykpSQ0bNsyzbn49TTExMTpw4IDbd8y5JCU5lJBQ+Irt9etbGjQoSwMHZik21oOBweelp6crMTFRCQkJeS4eDbiCtgR3oS0V3iOPBOillwJ1ww1Z+vBDxuifibaUv1tvDdRnnwXo/vszNX58lt3heL2ztaPU1FRVqlTJI0lTob71f/TRRxo9erSmTp0qh8OhadOmKSgo71MdDofLSVOpUqVUt25dSVLr1q21fPlyvfrqq3rnnXfyrBsSEqKQkJA8y4ODg4v9wIuPl2rUMEUf8ks7HQ6pYkWpc2dp6lRp0yaHRo8O1OjRgWrfXrr+eumaa8w6QH7saNfwT7QluAtt6dxmzTL/9uoVoOBgupnOhraUW+/e0mefSbNmBerFFwPtDsdnnNmOPNmmCpU01a9fX19++aUkKSAgQLNnz3bb8LwzWZaVqzfJWwUGSq++aqrkORy5EyfnMLx33pEGDJBSU00lvc8+k2bPlhYuNLdhw6RevaQbbpD69pVKl7bnvQAAgPO3e7e0dq35HpCQYHc08CUJCabdrF1r2lG1anZHhDO5/BNIVlaW2xKmRx99VL/++qu2bdum9evX67HHHtO8efN0/fXXu2X7njZggPTtt1J0dO7lNWqY5QMGmL/Dw6VbbpESE01xiBdflFq0kDIypJ9+kq69VqpaVbr1VpNUUXEPAADfM3Om+bdVK6lyZXtjgW+pXNm0GymnHcG7FKnfeOvWrbr33nvVrVs3JSQkaNiwYdpahCty7d27VzfeeKPq16+vrl27aunSpZo+fboSfOjnmQEDpG3bpMTEDI0cuUKJiRlKTs5JmM4UHS3df7+0apX022/So49KtWpJR49KH30kdesm1awpjRolrV6d/9A/AADgfSg1jvNB6XHv5nLSNGPGDDVs2FDLli1T06ZN1bhxYy1dulSNGjVSYmKiS9v64IMPtG3bNqWlpWnfvn2aNWuWTyVMToGBUlycpU6ddikuzlJgIYeiNmwoPf209Ndf0vz50h13SJGR0j//SC+9JLVsKTVuLI0fL23f7tn3AAAAii4zM6eHwPnlF3CFM9meOZNRR97I5aTp4Ycf1ogRI7R06VJNmDBBL7/8spYuXarhw4froYce8kSMfi8gQOrYUZo40Yxj/f57M1cqJET6/XfTG1W7ttSpk5kndeiQ3REDAIDTrVxp/n+OiJDatrU7Gviitm1N+zl0yLQneBeXk6aNGzfqtttuy7N88ODB+v33390SVEkWEiL16yd98420d6/0wQdSly5mcuCvv0p33ilFRUn9+5t5UydP2h0xAABwDqnq2lXKp8AwcE5BQc4L3TJEzxu5nDRVrlxZa9asybN8zZo1HquoV1JFREiDB5viEDt2SC+8IDVrJqWnSz/8IF19tSkgcdtt0ty55uJoAACg+M2YYf5lPhPOh7P9ONsTvIfLv4Xcfvvt+s9//qO//vpLl156qRwOhxYsWKDnnntO999/vydihExFvlGjzG3DBlO+/LPPTDW+Dz80t+hoadAgU8K8aVO7IwYAoGQ4fFhassTcZz4Tzoez/SxZYtpVZKS98SCHyz1Njz/+uJ544gm9/vrriouLU6dOnfTGG29ozJgxeuyxxzwRI87gLA6xbZuUlCTdfrtUvry50K6zN6pJE+m550wPFQAA8JzZs81ojwYNTAVcoKhq1jTtKCvLtCt4D5eTJofDoREjRmjnzp1KSUlRSkqKdu7cqfvuu08O51VdUSwCAkxxiHfflfbsMRfQHTBAKlXK9EY9/LApZ965s/Tee+YXCwAA4F6UGoc7UXrcOxXpOk1O5cqVU7ly5dwVC85DSIh0xRXS5MkmgXrvPZMsSaY36j//MQUkBgwwyVVamq3hAgDgFywr58stQ/PgDs7ke/p0rtfpTc4raYJ3ioyUhgwxxSF27DDD9Jo0kU6dkr77TrrySpNA3X67SagoIAEAQNH8/rsZHh8aakZ/AOerUyfTnnbtMu0L3oGkyc/FxEgPPiitWyetXWvu16ghHTkivf++6Y2qXdsM5Vu/3uZgAQDwMc5eprg4qXRpe2OBfyhd2rQniSF63oSkqQRp2tT0Om3fbnqhbrvNlDX/+2+zvGlTU0Ti+eelnTvtjhYAAO9HqXF4AqXHvY9LSVN6erri4+P1559/eioeFIOAANPD9P77Zv7Tt9+ai+UGB5seqYceMtVbunQxF9c9csTmgAEA8ELHjplh7hJJE9zLOT8uKcm0M9jPpaQpODhYGzZsoEqeHwkNNXOcvvvOJFDvvGPG0lqW6Y0aMsTMf7rqKun77ykgAQCAU1KSmS9cs6ZUv77d0cCfXHSRaVenTuUk5rCXy8PzbrrpJn3wwQeeiAU2q1DBVNlLSjLXgBo/XmrUyCRKkyeb6nzVqkl33CHNn08BCQBAyXb60Dx+T4Y7ORwM0fM2Qa4+4dSpU3r//feVmJio1q1bq0yZMrkenzBhgtuCg31q1TLFIR56yAzZ+/RT6fPPpX/+MdeFevdd8wvI9debW6NGdkcMAEDxotQ4PKlHD/N9i2IQ3sHlpGnDhg1q2bKlJOWZ28SwPf/jcJjiEM2aSc8+a3qhPv3U9Dzt2GF6o8aPl5o3N8nTdddJ0dF2Rw0AgGclJ0t//ikFBkpdu9odDfxR166mff35p2lvsbF2R1SyuZw0zZ071xNxwAcEBpriEF26SG++KU2dKn32mfTLL9KaNeb24IPm8euvNxfSjYiwO2oAANzPOWSqXTv+r4NnRESY9rVggWlvd95pd0QlW5FLjm/ZskUzZszQiRMnJEkWlywuUUqXlq6+2hSH2L1bmjhR6tDBFJCYPVsaPNgUkLjmGunHH81ERgAA/AWlxlEcmNfkPVxOmg4ePKiuXbuqXr166t27t3bv3i1JGjJkiO6//363BwjvV7GiKQ7x66+m+/jpp6UGDaSTJ6VvvpH69TMFJO66S1q40CRWAAD4qlOnzA+EEkkTPMs5X272bH6AtpvLSdOIESMUHBysHTt2KCwsLHv5tddeq+nMVCvxateWHn1U+u03adUqaeRIkzAdOpTTG3XBBdJ//ytt3Gh3tAAAuG7xYunoUalyZalFC7ujgT9r2VKqVMm0t8WL7Y6mZHM5aZo5c6aee+451ahRI9fyCy+8UNu3b3dbYPBtDof5j+Sll6S//5YSE6Wbb5bKlTPlzJ9+WmrYUGrVSpowwQzxAwDAFziHSnXvbi4YD3hKQEBObxND9Ozl8qF+7NixXD1MTgcOHFBISIhbgoJ/CQyUunWTPvrIXED3yy+lvn2loCDTG3X//VKNGuY/n//9z/yaAgCAt6LUOIqTs50xoMteLidNnTp10scff5z9t8PhUFZWll544QXFx8e7NTj4n7Aw6dprTXGI3bult96SLr3UXCg3MVG65RapalVp4EBTnS893e6IAQDIsXevtHq1ud+9u72xoGRwtrPVq037gz1cTppeeOEFvfPOO+rVq5dOnTqlBx98UI0bN9b8+fP13HPPeSJG+KlKlXKKQ2zdKo0bJ9WvL504IX31lemNqlZNGjpUWrSIAhIAAPvNnGn+bdHC/MgHeFrVqjlz55ztD8XP5aSpYcOGWrdundq0aaOEhAQdO3ZMAwYM0OrVq1WnTh1PxIgS4PTiECtWSMOHm5PEwYOmN6p9e6luXenxx6U//rA7WgBASUWpcdiB0uP2c/nitpIUFRWlsWPHujsWQA6HKQ7RqpX0wgvSnDnmArpTpkh//SU99ZS5tW5tLqA7cKC5HhQAAJ6WlUXSBHv06CGNH2/aX1YWBUjsUKRdfvjwYb344ou67bbbNGTIEL300ks6dOiQu2NDCRcUlFMcYu9e6YsvpMsuM4UlVqyQRoyQoqPNieSTT6R//7U7YgCAP1u1SjpwwFSCbdfO7mhQkrRrZ9rdgQOmHaL4uZw0JSUlKTY2Vq+99poOHz6sQ4cO6bXXXlNsbKySkpI8ESOgsLCc4hC7d0tvvCG1bWt+bZk5U7rpJjOcb9Ag6ZdfKCABAHA/Zy9T165ScLC9saBkKVXKtDuJIXp2cTlpGjp0qK655holJydrypQpmjJliv766y8NHDhQQ4cO9USMQC6VK5viEIsXS5s3S2PHSvXqSceP5/RGVa8u3XuvtHQpBSQAAO5BqXHYidLj9nI5adq6davuv/9+BQYGZi8LDAzUyJEjtXXrVrcGB5xL3brSE0+Y4hDLlknDhklVqpjua2dv1IUXSmPGmAQLAICiSEkxP9ZJJE2wh7PdLV5s2iOKl8tJU8uWLbVx48Y8yzdu3KjmzZu7IybAZQ6HdPHF0quvSrt2SdOmSTfcYIb1bd2a0xt1ySXSa69xnQMAgGtmz5YyM83/JbGxdkeDkig21rS/zEzTHlG8ClU9b926ddn3hw0bpvvuu09btmxR27ZtJUlLlizRm2++qWeffdYzUQIuCAoyVY169pTeflv64QdTgW/mTNMbtWyZNHKklJBgEqv+/aUyZeyOGgDgzaiaB2/Qs6f055+mPQ4YYHc0JUuhkqbmzZvL4XDIOm1yyIMPPphnvUGDBunaa691X3TAeSpb1pQmv/56ad8+c9HcTz81idP06eYWFiZdcYVJoLp1M0kXAABOlpUzj4SkCXbq0cOMmJk+3bRLh8PuiEqOQn09TE5O9nQcgMdVqWKKQ9x7r5nf9NlnJoHautXc/+wzs87AgSbJuvhiTkYAADNvdscOKSREiouzOxqUZHFxph3u2GHaZYMGdkdUchQqaapVq5an4wCKlbM4xOjRptfp009NL9S+feYXnNdeM+s4e6nq1rU7YgCAXZxD8zp1MqMTALuUKWPaYWKiaZckTcWnSAORdu3apYULF2rfvn3KysrK9diwYcPcEhhQHBwOUxzikkukCRPMSeizz6TvvjO9UWPGmNsll5jhe9dea0qeAwBKDkqNw5v06GG+r0yfLg0fbnc0JYfLSdOkSZN05513qlSpUqpYsaIcp41fcjgcJE3wWcHBUu/e5vbvv9L335seqMREc72npUvNyalHD5NA9evHL44A4O9OnJCSksx95jPBG/TsKY0aZdrliRNS6dJ2R1QyuFxy/IknntATTzyhlJQUbdu2TcnJydm3v/76yxMxAsWubFmTGE2fbkqYv/KK1Lq1KfP5yy/SoEFm/tNNN5mqfBkZdkcMAPCE+fOlkyel6GipYUO7owFMO4yONu1y/ny7oyk5XE6ajh8/roEDByogwOWnAj4pKkq67z5p+XIz6fLxx6ULLpCOHZM++cT0PNWoIY0YIa1YYarZAAD8w+mlxikOBG/gcOT0ejrbJzzP5czntttu0zfffOOJWACvV7++9OST0pYt0qJF0tChUsWK5mK5r7xiKu41aCCNGyfR8QoAvo9S4/BGzvl1zvYJz3N5TtP48ePVp08fTZ8+XU2aNFFwcHCuxydMmOC24ABv5XBI7dqZ28svm196PvvMXEh30ybpiSfM7dJLTfW9a66RKlWyO2oAgCt27JA2bpQCAqSuXe2OBsjRrZtplxs3mnZas6bdEfk/l5OmZ555RjNmzFD9+vUlKU8hCKCkCQ6W+vQxt6NHTeW9Tz+VZs82vVGLFpnhfT17mnlSfftSQAIAfIFz6FPbtlJkpL2xAKeLjDTtctEi005vv93uiPyfy0nThAkT9OGHH+qWW27xQDiAbytXzhSHuOkmafdu6csvTQK1apU0daq5lS0rXXml6YHq0kUKDLQ7agBAfig1Dm/Wo4dJmqZPJ2kqDi7PaQoJCVH79u09EQvgV6pVM8UhVq6Ufv9deuwxqXZtU878f/+TuneXYmKk++83SRUFJADAe6SnS7NmmfvMZ4I3crbLWbNMe4VnuZw03XfffXr99dc9EQvgtxo0kJ56yhSHWLBAuusuqUIF0xs1YYLUqpXUqJH09NNScrLd0QIAli6VUlPNubpVK7ujAfJq1cq0z9RU017hWS4Pz1u2bJnmzJmjqVOnqlGjRnkKQUyZMsVtwQH+xuGQ2rc3t1deMeOQP/1U+vFHM5nzv/+V/vvfYDVo0EE7dwZo4EBTnQ8AULyc85m6d2cYNbxTYKBpn19+adprhw52R+TfXO5pKl++vAYMGKC4uDhVqlRJERERuW4ACqdUKVMU4quvTMnySZNMdSaHw9LGjRV1zz2BqlZN6tdP+uYbc9VvAEDxoNQ4fAGlx4uPyz1NkyZN8kQcQIkWHi7dcou5bduWobFjN2nNmkZas8ahH380PVHh4TkFJDp35pdPAPCU/fvNfFTJ/JIPeCtn0rRypWm3lSvbG48/c7mnCYBnRUdL/ftv1bJlGfrtN+nRR6VatcyY5UmTzLUZataUHnhAWrOGAhIA4G6Jiebc2qyZKeoDeKtq1Uw7tSzTbuE5LidNsbGxuuCCC856A+A+DRua4hB//SXNny/dcYe5NsM//0gvvii1aCE1aSKNHy9t3253tADgHyg1Dl/CEL3i4fLwvOHDh+f6Oz09XatXr9b06dP1wAMPuCsuAKcJCJA6djS3V181J8ZPP5V++knZvVGPPmoev+EG6eqruRAjABRFVpY0c6a5z3wm+IKePaXnnzftNivLfGeA+7mcNN133335Ln/zzTe1YsWK8w4IQMFCQkxxiH79pJQUafJkk0DNmyf9+qu53Xuv1Lu3SaAuu0wKDbU7agDwDWvXmuI8ZcqYSqeAt2vf3rTXvXtN+23Rwu6I/JPbctFevXpp8uTJ7tocgEKIiJAGD5bmzJF27DC/NDVrJp06JX3/vXTVVVJUlDRkiDR3rvkFCgBwds5S4126mCqngLcrVcq0Vymn/cL93JY0ffvtt6pQoYK7NgfARTVq5BSHWLdOeughKSbG9EZ98IE5odaqZZavW2d3tADgnSg1Dl/EvCbPc3l4XosWLeRwOLL/tixLe/bs0f79+/XWW2+5NTgARdOkifTss9Izz5jhep99Zq71tHOn6Y16/nmzzvXXS4MGmeQKAEq61FRp4UJznyIQ8CXOJH/hQtOOw8PtjccfuZw09e/fP9ffAQEBqly5sjp37qyLLrrIXXEBcIOAACkuztxef1365Rcz/2nqVGn9eunhh6VHHpE6dTLzn666Sipf3u6oAcAec+dKGRlS3bpSnTp2RwMUXp06pt1u2WLacb9+dkfkf1xOmkaPHu2JOAB4WEiIdMUV5nb4cE4BiaSknNvQoVKfPqYH6rLLzHMAoKSg1Dh8WY8eJmmaPp2kyRMoSgiUQJGRpjjEvHnm+k7PPis1bmwKSEyZIl15pSkg8Z//mGSKAhIA/J1lMZ8Jvs3ZbqdP58L3nlDopCkgIECBgYEF3oKCXO64AmCzmjVNcYj1602p0gcflKKjpSNHpPfekzp3lmrXNkP5NmywOVgA8JDNm6Vt26TgYHPeA3xN586m/W7bZtoz3KvQWc5333131scWLVqk119/XRZpLeDTmjY1t/HjpfnzzfC9b76R/v5beu45c2vWzAzfu+46U7EPAPyBs5epY0epbFl7YwGKomxZ037nzDGlx+vVszsi/1LonqZ+/frludWvX18fffSRXnrpJV199dXatGmTJ2MFUEwCAswvVu+/by6W9+23Uv/+5hcsZ29UzZqmjPmHH5qy5gDgy5zXt2FoHnwZpcc9p0hzmv755x/dfvvtatq0qTIyMrRmzRr973//U82aNd0dHwCbhYaaOU7ffSft2SO98475JcuyTIWe226TqlaVrr5a+uEHMy8KAHzJyZPmfCZRBAK+zZn0z51r2jXcx6WkKSUlRQ899JDq1q2r3377TbNnz9ZPP/2kxo0beyo+AF6kQgVTHGL+fDNm+plnpIYNpbS0nN6oqCjpzjvN9aEoIAHAFyxYIJ04IVWrZq5hB/iqJk1MOz5xwrRruE+hk6bnn39eF1xwgaZOnaovvvhCixYtUseOHT0ZGwAvVquWucbThg3S6tXSqFFS9eqmnPk775hrP11wgfToo9Lvv9sdLQCc3emlxh0Oe2MBzofDwRA9Tyl0IYiHH35YpUuXVt26dfW///1P//vf//Jdb8qUKW4LDoD3czik5s3N7dlnTYnyTz81PU/bt5uiEuPHm8dvuMEUkKhe3eagAeA0zGeCP+nZU/roI9OuX3zR7mj8R6GTpptuukkOfn4BUIDAQFMcoksX6c03palTTQI1bZq0Zo25PfCAefyGG6QBA6TwcLujBlCS7dxpeswdDqlbN7ujAc5ft26mPW/YYNo3lW7do9BJ00cffeTBMAD4m9KlTXGIq6+WDh40pcs/+8yMsZ4929zuuku6/HJTwrxnT6lUKbujBlDSOHuZ2rSRKla0NxbAHSpWNO156VLTvm+7ze6I/EORqucBgCsqVswpDpGcLD39tNSggans8/XXUr9+ZuLq3XdLCxdyJXMAxYehefBHznlNzvaN80fSBKBY1a5tikP89pu0apU0cqSpuHfokPT221KHDlKdOtJ//yv98Yfd0QLwZxkZUmKiuU+pcfgT548AiYmmneP8kTQBsIXDIbVoIb30khlznZgo3XyzuaL56b1RrVpJL78s7d5td8QA/M3y5dKRI1JkpHTxxXZHA7jPxRebdn3kiGnnOH8kTQBsFxhoJq5+9JG0d6/05ZdSnz5SUFBOb1SNGlL37tLHH0tHj9odMQB/4CzJ3K2bOd8A/iIoKKewCaXH3YOkCYBXCQuTrr1W+ukn07v05pvSpZeaC+U6e6OqVjWly6dOldLT7Y4YgK9iPhP8mbNdM6/JPUiaAHitSpVyikNs3SqNGyfVr2+udP7ll1LfvuaaT/fcIy1eTAEJAIV38KC0bJm53727vbEAnuBs18uWmfaO80PSBMAnXHCBKQ6xcaMZnz18uOlxOnAgpzeqbl3piSekTZvy30ZmpjRvnvTFF+bfzMxifAMAvEpiovmhpXFjrmMD/1SjhmnflpVT8ARFZ2vSNH78eF188cUqV66cqlSpov79+2vT2b7tAIBMAYnWrU1xiJ07zbCDG2+UypSR/vrL9EZddJGZBPvqq2aOlCRNmWIq98XHS4MGmX9r1zbLAZQ8DM1DSUDpcfexNWlKSkrS0KFDtWTJEiUmJiojI0Pdu3fXsWPH7AwLgI8ICsopDrF3r/T559Jll5nCEitWmN6o6tVNlb4rrzRJ1ul27ZKuuorECShpLCvnSySlxuHPTp/XxBD282Nr0jR9+nTdcsstatSokZo1a6ZJkyZpx44dWrlypZ1hAfBBZcrkFIf45x/p9deltm1NAYk1a/J/jvM/kOHDGaoHlCTr15tCM2Fh5tpwgL/q0MG08927TbtH0XlVgc2UlBRJUoUKFfJ9PC0tTWlpadl/p6amSpLS09OVbnMJLefr2x0HfB9t6fxFRkp33GFun3/u0C23nP1UZ1nS339Lc+dmKC7Ov36Goy3BXfytLf38c4CkQMXFZSkwMJMqnMXI39qStwsMlOLiAjVtWoB+/jlTDRpk2R2SW5ytHXmyXTksyzs66yzLUr9+/XT48GH9+uuv+a4zZswYjR07Ns/yzz//XGFhYZ4OEYAPmj8/WhMmtD7nem3b7tJNN21U9eoMDwb83eOPX6r16ytryJB16tMn2e5wAI+aOjVW77/fVE2a7Ne4cYvsDsejjh8/rkGDBiklJUXh4eFu3bbXJE1Dhw7Vzz//rAULFqjGWcrY5NfTFBMTowMHDrh9x7gqPT1diYmJSkhIUHBwsK2xwLfRltwrKcmhhITCd6pffHGWBg2ydPXVWapSxYOBFQPaEtzFn9rSv/9KVasGKT3doQ0b0lWvnt0RlSz+1JZ8xZ9/So0bBys42NLevRkqW9buiM7f2dpRamqqKlWq5JGkySuG591777368ccfNX/+/LMmTJIUEhKikJCQPMuDg4O95sDzpljg22hL7hEfb8qu7tqV/yRYh8MM52vTxpRkXb48QMuXS6NGBap7d+mGG6R+/cycKV9FW4K7+ENbWrDAXBQ7NlZq2DBYDofdEZVM/tCWfEXDhqa9Jyc7tGBBsPr2tTsi9zmzHXmyTdlaCMKyLN1zzz2aMmWK5syZo9jYWDvDAeCHAgNN6XFJeb4cOf9+7z1p2jSTWL36qkmgMjPNsuuvN9eDuvFGafp0KSOjeOMH4F6nlxonYUJJ4HBQetwdbE2ahg4dqk8//VSff/65ypUrpz179mjPnj06ceKEnWEB8DMDBkjffitFR+deXqOGWT5ggPm7alVp2DBp6VIznGH0aKlOHenYMenTT6Vevcw27rvPXGDXOwY3A3DF9OnmX0qNoyRxlh53tn+4ztak6e2331ZKSoo6d+6satWqZd+++uorO8MC4IcGDJC2bZPmzjXXc5o7V0pOzkmYznThhdKYMdLmzdKSJdI990iVK0v79kmvvWZ6oy66SHrySWnr1uJ8JwCKassWc7wGBUldutgdDVB8unQx7X7rVnMcwHW2D8/L73bLLbfYGRYAPxUYKHXubK7n1Lmz+ftcHA7pkkvMdZ927ZJ+/tk8v3TpnN6ounWldu2kN9+U9u/39LsAUFTOoUnt20vlytkbC1CcypUz7V5iiF5R2Zo0AYAvCQ6Wevc2PVV790off2yG+AQE5PRGVa8u9ekjffGFdPy43REDON3p85mAksbZ7kmaioakCQCKoFy5nOIQu3ZJr7witW5tCkX8/LM0aJCZI3XzzdLMmRSQAOyWlibNmWPuM58JJZGz3c+ZY44HuIakCQDOU1RUTnGIP/6QHn/clHf999+c3qiYGGnECGnlSgpIAHZYuNAUdalaVWrWzO5ogOLXrJlp/8eOmeMBriFpAgA3ql8/pzjEokXS3XdLFStKe/bk9EY1aCA99ZT01192RwuUHM4hSc4htUBJExBA6fHzwWkDADzA4cgpDrF7t/TTT9LAgVJoqLRpk+mNqlPHTMx9+23pwAG7Iwb8G6XGgZz2T+lx15E0AYCHBQfnFIfYu1f66CMpIcH86ufsjapWTbr8cumrryQuVQe41z//SOvWmR8zEhLsjgawT0KCOQ7WrTPHBQqPpAkAilF4eE5xiJ07pQkTpJYtTaEIZ29U1arSrbdKs2ZJmZl2Rwz4vpkzzb+tWpnrrQElVeXK5jiQco4LFA5JEwDYpFq1nOIQv/8uPfaYVLu2dPRoTm9UTIx0//3S6tUUkACKilLjQA5KjxcNSRMAeIHTi0MsWCDdeadUoYKZD+XsjWrUSHrmGWnbNrujBXxHZmbOL+rMZwJyjoOZMxnN4AqSJgDwIg5HTnGI3bulH36Qrr7aFJDYuNH0RsXGSh07Su+8Ix06ZHfEgHdbscIcJxERUtu2dkcD2K9tW3M8HDpkjg8UDkkTAHipUqVMcYivvzYlyz/8UOra1SRWzt6oqCipf3/pm28oIAHkxzkEqVs3KSjI3lgAbxAUZI4HiSF6riBpAgAfEBGRUxzi77+lF1+UmjeX0tNNb9Q115gEavBgc7V3hlwABqXGgbwoPe46kiYA8DHR0TnFITZskB55RKpZU0pNlSZNMr1RNWtKDz8coL/+CqeABEqsw4elpUvNfZImIIfzeFi61BwnODeSJgDwYc7iEMnJ0vz50n/+I0VGmutvTJgQqJEj49WiRZCefVbascPuaIHiNWuWlJVlCq3UrGl3NID3qFnTHBdZWeY4wbmRNAGAHwgIyCkOsXu39N130oABWQoOztTvvzv0yCNSrVpSXJz07rv8soiSgVLjwNlRetw1JE0A4GdCQkxxiC+/zNSkSdP17rsZio83BSTmz5fuuMPMfxowQJo8WTp50u6IAfezLOYzAQU5fV4Tw7jPjaQJAPxY2bIZuuUWS3PmmOF5zz8vNW0qnTpleqOuusokUEOGSPPmmaEagD/47Tdp1y5Trr9TJ7ujAbxPp07m+Ni1yxwvKBhJEwCUEDVqSA88IK1dK61bJz30kBQTI6WkSB98IMXHmyF8Dz1kHgd8mXPIUefOUunStoYCeKXSpc3xITFErzBImgCgBGrSRHr2WWnbNtPDNGSIKWu+c6fpjWrWzPRIPf+8KXEO+BqG5gHnRunxwiNpAoASLCDAFId47z1zAd3Jk81cp1KlpPXrTa9TrVqmF+r996UjR+yOGDi3Y8fM/D2JIhBAQZzHx/z55rjB2ZE0AQAkmbHtzuIQe/aYKntxcWaC8Lx50u23S1WrSldeaeZDpaXZHTGQv6QkM2+vZk2pfn27owG8V/365jg5dcocNzg7kiYAQB6RkSZJmjdP2r7dDOVr3Nj8xzplikmuoqLMdaGSkiggAe9yeqlxh8PeWABv5nBQerywSJoAAAWqWdMM01u/3hSReOABKTraDNV77z0zkbh2bemRR6QNG2wOFhDzmQBXMK+pcEiaAACF5iwOsX27NGeONHiwFB5uikU8+6wpMNG8ufTCC6aoBFDckpOlP/+UAgOlrl3tjgbwfl27muPlzz/N8YP8kTQBAFwWGGiKQ3zwgbR3r/TNN+aCusHBpjfqwQdND1WXLtKHH5qy5kBxcA4xuvRSUxESQMEiIszxIjFEryAkTQCA8xIaai6S+913poDEO+9IHTuaAhJz50q33WYKSFx9tfTDD2ZeFOApDM0DXMcQvXMjaQIAuE2FCqY4xPz55hpQzzwjNWxoKu19+63pjYqKku68U1qwgAIScK9Tp8ywUYlS44ArnMfLnDn8sHU2JE0AAI+oVSunOMTq1dL990vVq0uHD+f0Rl1wgfTYY9Lvv9sdLfzB4sXS0aNS5cpSixZ2RwP4jhYtzHFz9Kg5jpAXSRMAwKMcDlMc4sUXpR07pFmzpFtvlcqVMwUlnnlGatRIatlSeukl6Z9/7I4Yvso5tKh7d3PhZgCFExBgjhuJeU1nwykFAFBsnBXNPvzQFJD46ivp8suloCDTGzVqlFSjhtStm/TRR1Jqqt0Rw5c4v+wxnwlwHfOaCkbSBACwRenS0jXXmOIQe/ZIb78ttW9vCkjMnm16o6pWla69VvrpJ8bZo2B795rEW8r5xRxA4TmPm9WrzfGE3EiaAAC2q1gxpzjEX39JTz0lXXSRdPKk9PXXpjeqWjXp7rulhQtNYgWcbuZM82/LlibZBuCaqlXN8SPlHE/IQdIEAPAqsbE5xSFWrpRGjDAV9w4dMr1RHTpIdepI//2v9McfdkcLb0GpceD8MUTv7EiaAABeyeEwv3pOmCDt3Gl++bz5ZqlsWXPV+qeflho0kFq1kl5+Wdq92+6IYZesrJxfxik1DhSd8/iZOZNLQpyJpAkA4PUCA6WEBFMcYu9e6YsvpD59TAGJVaukkSNNAYnu3aWPPzZlc1FyrFolHThgKjK2a2d3NIDvatfOHEcHDpjjCjlImgAAPiUsTBo40BSH2L1bevNN8x99VpaUmGh6o6pWla67Tvr5Zyk93e6I4WnOoURdu0rBwfbGAviy4GBzHEkM0TsTSRMAwGdVqmSKQyxaJG3ZIj35pFSvnnTihPTll6Y3qnp16Z57zAUbKSDhnyg1DriP8zjiek25kTQBAPxCnTrS44+b4hDLl0v33Wd6nA4cML1Rl14q1a0rPfGEtGmT3dHCXVJSTEIskTQB7uA8jhYvNscXDJImAIBfcTik1q2lV14xBSSmT5duvFEqU8aUMx83zpQzv/hi6dVXuR6Jr5s9W8rMlOrXN5UXAZyf2FhzPGVmmuMLBkkTAMBvBQWZX00//tgkR59/LvXubQpLrFghDR8uRUebilGffir9+6/dEcNVlBoH3I/S43mRNAEASoQyZXKKQ/zzj/T669Ill5hfU2fMML1RVatK118v/fILBSR8gWXlzLug1DjgPs7jacYM5oI6kTQBAEqcKlVMcYglS6Q//5TGjDHznY4fN71Rl11meqDuvVdaupQvDd7qjz+kHTukkBApLs7uaAD/ERdnjqsdO7iIuBNJEwCgRLvwQmn0aJM8LV1qEqXKlaX9+6U33pDatjUV+caMkTZvtjtanM45dKhTJ1OKHoB7hIWZ40piiJ4TSRMAADIFJNq0kV57Tdq1ywzRu/568+VhyxZp7FiTPF1yiRnat2+f3RGDUuOA51B6PDeSJgAAzhAcLPXqZYpD7N1r/u3ZUwoIkJYtk4YNM9d/6t3bDOc7dszuiEueEyekpCRzn/lMgPs5j6ukJHO8lXQkTQAAFKBsWdPjNG2aKSDx6qumXHlmpll2/fWmgMSNN5phLBkZdkdcMsyfL508KdWoITVsaHc0gP9p2NAcXydPmuOtpCNpAgCgkKpWNb1My5aZC+Q+8YS5qO6xY6Y3qlcvU0DivvvMBXYpIOE5p5cadzjsjQXwRw4HpcdPR9IEAEAR1Ktn5jlt3iwtXiwNHSpVqmTmOr32mpkfddFF0pNPSlu32h2t/6HUOOB5p5ceL+lImgAAOA8Oh6mw98YbZvje1KnmelClS5uKfKNHm3Lm7dpJb75pqvLh/GzfLm3caOaYde1qdzSA/+ra1RxnGzea464kI2kCAMBNgoPNNZ4+/9wUkPj4Y6l7d/OlY8kSc22o6tWlPn2kL74w14WC65y/erdtK0VG2hsL4M8iI81xJtHbRNIEAIAHlCtnikPMmGFKmL/8stSqlSkU8fPP0qBBZo7UzTdLM2dSQMIVlBoHig+lxw2SJgAAPCwqSho+XFqxwgxz+e9/pdhY6d9/TW9Ujx5STIw0YoS0ciUFJAqSni7NmmXuM58J8DzncTZrljn+SiqSJgAAitFFF0njxpniEAsXSnfdJVWsKO3ZI73yitS6tdSggfTUU9Jff9kdrfdZulRKTTX7rFUru6MB/F+rVuZ4S001x19JRdIEAIANHA7p0kult94yBSR+/FG69lopNNSUM3/8cVPOvH176e23pQMH7I7YOzhLHyckSIGB9sYClASBgeZ4k0p26XGSJgAAbFaqlNS3r/Tll6aAxEcfSd26mcRq0SLp7rulatWkyy+XvvpKOnHC7ojtQ6lxoPhRepykCQAArxIebopDJCZKO3dKL70ktWhhCkX89JM0cKApIHHrrWaOQWam3REXn337zLwwyVQlBFA8nMfbihXmOCyJSJoAAPBS1atLI0dKq1ZJv/0mPfqoVKuWdPSo6Y1KSDAFJO6/X1q92v8LSCQmmn+bNTM9bwCKR7Vq5riTco7DkoakCQAAH9CwofT006Y4xK+/Snfeaa6hsnu3NGGC1LKl1KiR9Mwz0rZtdkfrGZQaB+xT0kuPkzQBAOBDAgKkDh1McYg9e6QffpCuvloKCTHlzB97zJQz79hReucd6dAhuyN2j6ws5jMBdjp9XlNWlr2x2IGkCQAAH1WqlCkO8fXXpoDEhx9KXbqYAhILFpjeqKgoqX9/6ZtvfLuAxNq1Zi5FmTKmoiCA4tW+vTn+9u0zx2NJQ9IEAIAfiIgwxSFmz5b+/lt64QWpeXNzMcoffpCuucYkUIMHS3Pm+F4BCWep4y5dTLIIoHiVKmWOP6lklh4naQIAwM9ER0ujRpniEOvXSw8/LNWsaS5OOWmS1LWr+fuBB6Q1a3yjgARD8wD7leTS4yRNAAD4scaNpfHjpeRkKSlJ+s9/pPLlzQV1X3zRlDNv0kR69llpxw67o81faqq0cKG5TxEIwD7O42/hQnNcliQkTQAAlAABAVKnTqY4xJ490pQp0pVXmiE3v/0mPfKIKWceFye9+650+LDdEeeYM8dcp6puXalOHbujAUquOnXMcZiRYY7LkoSkCQCAEiYkRLriCunbb00Biffflzp3NgUk5s+X7rjDzH8aMECaPFk6edLeeCk1DniPklp6nKQJAIASrHx56bbbpLlzpe3bpeeek5o2lU6dkr77TrrqKikmJkhvvNFcSUmOYi81bFk5k86ZzwTYz3kcTp/uG/Mh3YWkCQAASJJiYqQHHzTlhNeuNfdr1JBSUhyaNauWEhKCVKuW9NBDpsBEcdi82Vyst1Qp0xsGwF6dO5vjcds2c3yWFCRNAAAgj6ZNTa/T9u1SYmKGEhK2KSLC0s6d0vPPm8ebNjX3//7bc3E4e5k6dJDKlvXc6wAonLJlzfEolazS4yRNAADgrAICpLg4S0OHrtXff2do8mQzH6pUKdPb9NBDpoBEfLyZG3XkiHtfn1LjgPcpiaXHSZoAAEChhIaa4hBTppgKfO++ayryWZY0b550++1S1aqmKt9330lpaef3eidPmrlWEkUgAG/iPB7nzrW/UExxIWkCAAAui4w0SVJSkpnbMH681KiRKSAxZYpJrqKizHWh5s9XkQpI/PqrdOKEVK2auZYUAO/QpIk5Lk+cMMdpSUDSBAAAzkutWtLDD5vhemvWSA88IEVHm6F6771nrv0UG2uuBbVhQ+G3e3qpcYfDE5EDKAqHo+QN0SNpAgAAbuFwSM2ameIQ27dLs2dLgwdL4eHSjh3Ss8+aX6ibN5deeEHauTP/7WRmmuF+X31l/u7evbjeAYDCcg7RmzxZ+uILc8xmZtoakkfZmjTNnz9fffv2VfXq1eVwOPT999/bGQ4AAHCTwECpSxfpgw/M/KdvvpH69ZOCg3PKmdesadb58EMpJcU8b8oUqXZtU1jCmVSNGmWWA/AezrlM27ZJgwaZY7Z2bf89Vm1Nmo4dO6ZmzZrpjTfesDMMAADgQaVLm4vkfv+9SaAmTjQliy3LTCS/7TZTQOLSS00RiTN7oHbvNs/31y9jgK+ZMkW69da8y3ft8t9j1dakqVevXnrqqac0YMAAO8MAAADFpEIF6Y47zOTx5GTp6aelBg1Mpb3Fi/N/jmWZf4cP9+/hP4AvyMyU7rsv57g8nT8fq0F2B+CKtLQ0pZ1WvzQ1NVWSlJ6ervT0dLvCyo7h9H+BoqItwV1oS3AXT7Wl6GhTNGLUKOmDDxy6++6zfy2xLHMR3blzMxQXl8+3NfgEzku+LynJoZ077T1Wz9aOPNmufCppGj9+vMaOHZtn+cyZMxUWFmZDRHklJibaHQL8BG0J7kJbgrt4si1t2RItqfU515s2bY2OHdvlsThQPDgv+a75873nWD2zHR0/ftxjr+WwrPw614qfw+HQd999p/79+591nfx6mmJiYnTgwAGFh4cXQ5Rnl56ersTERCUkJCg4ONjWWODbaEtwF9oS3KU42lJSkkMJCef+LTcxkZ4mX8Z5yfd5w7F6tnaUmpqqSpUqKSUlxe25gU/1NIWEhCgkJCTP8uDgYK858LwpFvg22hLchbYEd/FkW4qPl2rUMBPJ8/s51+Ewj8fHBykw0CMhoBhxXvJd3nSsntmOPNmmuE4TAACwXWCg9Oqr5v6ZF7J1/v3KKyJhAmxWUo9VW5Omf//9V2vWrNGaNWskScnJyVqzZo127NhhZ1gAAMAGAwZI335rCkScrkYNs5xiu4B3KInHqq3D81asWKH4+Pjsv0eOHClJuvnmm/XRRx/ZFBUAALDLgAHmIri//mquz1StmtSxo//9ag34upJ2rNqaNHXu3FleUocCAAB4icBAqXNnu6MAcC4l6VhlThMAAAAAFICkCQAAAAAKQNIEAAAAAAUgaQIAAACAApA0AQAAAEABSJoAAAAAoAAkTQAAAABQAJImAAAAACgASRMAAAAAFICkCQAAAAAKQNIEAAAAAAUgaQIAAACAApA0AQAAAEABguwO4HxYliVJSk1NtTkSKT09XcePH1dqaqqCg4PtDgc+jLYEd6EtwV1oS3AX2hLc4WztyJkTOHMEd/LppOno0aOSpJiYGJsjAQAAAOANjh49qoiICLdu02F5IhUrJllZWfrnn39Urlw5ORwOW2NJTU1VTEyM/v77b4WHh9saC3wbbQnuQluCu9CW4C60JbjD2dqRZVk6evSoqlevroAA985C8umepoCAANWoUcPuMHIJDw/nJAC3oC3BXWhLcBfaEtyFtgR3yK8dubuHyYlCEAAAAABQAJImAAAAACgASZObhISEaPTo0QoJCbE7FPg42hLchbYEd6EtwV1oS3AHO9qRTxeCAAAAAABPo6cJAAAAAApA0gQAAAAABSBpAgAAAIACkDQBAAAAQAFImk4zfvx4XXzxxSpXrpyqVKmi/v37a9OmTbnWsSxLY8aMUfXq1VW6dGl17txZv/32W6510tLSdO+996pSpUoqU6aMLr/8cu3cuTPXOocPH9aNN96oiIgIRURE6MYbb9SRI0c8/RZRDIqzHdWuXVsOhyPX7eGHH/b4e0TxcFdbevfdd9W5c2eFh4fL4XDke67hnOTfirMtcV7yb+5oS4cOHdK9996r+vXrKywsTDVr1tSwYcOUkpKSazucl/xbcbYlt5yXLGTr0aOHNWnSJGvDhg3WmjVrrMsuu8yqWbOm9e+//2av8+yzz1rlypWzJk+ebK1fv9669tprrWrVqlmpqanZ69x5551WdHS0lZiYaK1atcqKj4+3mjVrZmVkZGSv07NnT6tx48bWokWLrEWLFlmNGze2+vTpU6zvF55RnO2oVq1a1pNPPmnt3r07+3b06NFifb/wHHe1pZdfftkaP368NX78eEuSdfjw4TyvxTnJvxVnW+K85N/c0ZbWr19vDRgwwPrxxx+tLVu2WLNnz7YuvPBC68orr8z1WpyX/FtxtiV3nJdImgqwb98+S5KVlJRkWZZlZWVlWVFRUdazzz6bvc7JkyetiIgIa+LEiZZlWdaRI0es4OBg68svv8xeZ9euXVZAQIA1ffp0y7Is6/fff7ckWUuWLMleZ/HixZYk648//iiOt4Zi5Kl2ZFnmJPDyyy8XzxuB7YrSlk43d+7cfL/ock4qeTzVliyL81JJc75tyenrr7+2SpUqZaWnp1uWxXmpJPJUW7Is95yXGJ5XAGfXXoUKFSRJycnJ2rNnj7p37569TkhIiOLi4rRo0SJJ0sqVK5Wenp5rnerVq6tx48bZ6yxevFgRERG65JJLstdp27atIiIisteB//BUO3J67rnnVLFiRTVv3lxPP/20Tp065em3BJsUpS0VBuekksdTbcmJ81LJ4a62lJKSovDwcAUFBUnivFQSeaotOZ3veSno3KuUTJZlaeTIkerQoYMaN24sSdqzZ48kqWrVqrnWrVq1qrZv3569TqlSpRQZGZlnHefz9+zZoypVquR5zSpVqmSvA//gyXYkSffdd59atmypyMhILVu2TI888oiSk5P1/vvve/JtwQZFbUuFwTmpZPFkW5I4L5Uk7mpLBw8e1Lhx43THHXdkL+O8VLJ4si1J7jkvkTSdxT333KN169ZpwYIFeR5zOBy5/rYsK8+yM525Tn7rF2Y78C2ebkcjRozIvt+0aVNFRkbqqquuyv41Bf7D3W3pXNso6nbg/TzdljgvlRzuaEupqam67LLL1LBhQ40ePbrAbRS0Hfg2T7cld5yXGJ6Xj3vvvVc//vij5s6dqxo1amQvj4qKkqQ8v3Ds27cvOwuOiorSqVOndPjw4QLX2bt3b57X3b9/f55sGr7L0+0oP23btpUkbdmyxS3vAd7hfNpSYXBOKjk83Zbyw3nJP7mjLR09elQ9e/ZU2bJl9d133yk4ODjXdjgvlQyebkv5Kcp5iaTpNJZl6Z577tGUKVM0Z84cxcbG5no8NjZWUVFRSkxMzF526tQpJSUl6dJLL5UktWrVSsHBwbnW2b17tzZs2JC9Trt27ZSSkqJly5Zlr7N06VKlpKRkrwPfVVztKD+rV6+WJFWrVs2dbwk2cUdbKgzOSf6vuNpSfjgv+Rd3taXU1FR1795dpUqV0o8//qjQ0NBc2+G85P+Kqy3lp0jnpfMqI+Fn7rrrLisiIsKaN29erpKEx48fz17n2WeftSIiIqwpU6ZY69evt6677rp8S0XXqFHDmjVrlrVq1SqrS5cu+ZYcb9q0qbV48WJr8eLFVpMmTSij6SeKqx0tWrTImjBhgrV69Wrrr7/+sr766iurevXq1uWXX17s7xme4a62tHv3bmv16tXWe++9Z0my5s+fb61evdo6ePBg9jqck/xbcbUlzkv+zx1tKTU11brkkkusJk2aWFu2bMm1Hb4rlRzF1ZbcdV4iaTqNpHxvkyZNyl4nKyvLGj16tBUVFWWFhIRYnTp1stavX59rOydOnLDuueceq0KFClbp0qWtPn36WDt27Mi1zsGDB63rr7/eKleunFWuXDnr+uuvz7d0K3xPcbWjlStXWpdccokVERFhhYaGWvXr17dGjx5tHTt2rLjeKjzMXW1p9OjR59wO5yT/VlxtifOS/3NHW3KWrM/vlpycnL0e5yX/VlxtyV3nJcf/Bw0AAAAAyAdzmgAAAACgACRNAAAAAFAAkiYAAAAAKABJEwAAAAAUgKQJAAAAAApA0gQAAAAABSBpAgAAAIACkDQBAAAAQAFImgAAAACgACRNAACvYVmWunXrph49euR57K233lJERIR27NhhQ2QAgJKMpAkA4DUcDocmTZqkpUuX6p133slenpycrIceekivvvqqatas6dbXTE9Pd+v2AAD+h6QJAOBVYmJi9Oqrr2rUqFFKTk6WZVm67bbb1LVrV7Vp00a9e/dW2bJlVbVqVd144406cOBA9nOnT5+uDh06qHz58qpYsaL69OmjrVu3Zj++bds2ORwOff311+rcubNCQ0P16aef2vE2AQA+xGFZlmV3EAAAnKl///46cuSIrrzySo0bN07Lly9X69atdfvtt+umm27SiRMn9NBDDykjI0Nz5syRJE2ePFkOh0NNmjTRsWPH9MQTT2jbtm1as2aNAgICtG3bNsXGxqp27dp66aWX1KJFC4WEhKh69eo2v1sAgDcjaQIAeKV9+/apcePGOnjwoL799lutXr1aS5cu1YwZM7LX2blzp2JiYrRp0ybVq1cvzzb279+vKlWqaP369WrcuHF20vTKK6/ovvvuK863AwDwYQzPAwB4pSpVqug///mPGjRooCuuuEIrV67U3LlzVbZs2ezbRRddJEnZQ/C2bt2qQYMG6YILLlB4eLhiY2MlKU/xiNatWxfvmwEA+LQguwMAAOBsgoKCFBRk/qvKyspS37599dxzz+VZr1q1apKkvn37KiYmRu+9956qV6+urKwsNW7cWKdOncq1fpkyZTwfPADAb5A0AQB8QsuWLTV58mTVrl07O5E63cGDB7Vx40a988476tixoyRpwYIFxR0mAMAPMTwPAOAThg4dqkOHDum6667TsmXL9Ndff2nmzJkaPHiwMjMzFRkZqYoVK+rdd9/Vli1bNGfOHI0cOdLusAEAfoCkCQDgE6pXr66FCxcqMzNTPXr0UOPGjXXfffcpIiJCAQEBCggI0JdffqmVK1eqcePGGjFihF544QW7wwYA+AGq5wEAAABAAehpAgAAAIACkDQBAAAAQAFImgAAAACgACRNAAAAAFAAkiYAAAAAKABJEwAAAAAUgKQJAAAAAApA0gQAAAAABSBpAgAAAIACkDQBAAAAQAFImgAAAACgAP8HC8b6C9GhsgQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 读取包含新增项目年份信息的 CSV 文件\n",
    "df = pd.read_csv(\"first_nonzero_year_2000_onwards.csv\")\n",
    "\n",
    "# 统计每年新增项目数量\n",
    "yearly_counts = df[\"Year\"].value_counts().sort_index()\n",
    "\n",
    "# 绘制折线图\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(\n",
    "    yearly_counts.index, yearly_counts.values, marker=\"o\", linestyle=\"-\", color=\"b\"\n",
    ")\n",
    "\n",
    "# 添加标题和标签\n",
    "plt.title(\"Number of new projects added each year\")\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Number of newly added projects\")\n",
    "# 显示网格\n",
    "plt.grid(True)\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 求解到底是那些国家获奖了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:5: SyntaxWarning: invalid escape sequence '\\s'\n",
      "<>:5: SyntaxWarning: invalid escape sequence '\\s'\n",
      "C:\\Users\\18154\\AppData\\Local\\Temp\\ipykernel_13632\\2090399377.py:5: SyntaxWarning: invalid escape sequence '\\s'\n",
      "  athletes_df = pd.read_csv(\"2025_Problem_C_Data\\summerOly_athletes.csv\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sport: Basketball, Year: 2020, Country: United States\n",
      "Sport: Basketball, Year: 2020, Country: Japan\n",
      "Sport: Basketball, Year: 2020, Country: France\n",
      "Sport: Basketball, Year: 2020, Country: Australia\n",
      "Sport: Breaking, Year: 2024, Country: France\n",
      "Sport: Breaking, Year: 2024, Country: China\n",
      "Sport: Breaking, Year: 2024, Country: Lithuania\n",
      "Sport: Breaking, Year: 2024, Country: Japan\n",
      "Sport: Breaking, Year: 2024, Country: United States\n",
      "Sport: Breaking, Year: 2024, Country: Canada\n",
      "Sport: Cycling, Year: 2008, Country: France\n",
      "Sport: Cycling, Year: 2008, Country: United States\n",
      "Sport: Cycling, Year: 2008, Country: New Zealand\n",
      "Sport: Cycling, Year: 2008, Country: Great Britain\n",
      "Sport: Cycling, Year: 2008, Country: Switzerland\n",
      "Sport: Cycling, Year: 2008, Country: Denmark\n",
      "Sport: Cycling, Year: 2008, Country: Argentina\n",
      "Sport: Cycling, Year: 2008, Country: Germany\n",
      "Sport: Cycling, Year: 2008, Country: Cuba\n",
      "Sport: Cycling, Year: 2008, Country: Italy\n",
      "Sport: Cycling, Year: 2008, Country: China\n",
      "Sport: Cycling, Year: 2008, Country: Russia\n",
      "Sport: Cycling, Year: 2008, Country: Sweden\n",
      "Sport: Cycling, Year: 2008, Country: Ukraine\n",
      "Sport: Cycling, Year: 2008, Country: Spain\n",
      "Sport: Cycling, Year: 2008, Country: Australia\n",
      "Sport: Cycling, Year: 2008, Country: Japan\n",
      "Sport: Cycling, Year: 2008, Country: Latvia\n",
      "Sport: Cycling, Year: 2008, Country: Netherlands\n",
      "Sport: Cycling, Year: 2008, Country: Poland\n",
      "Sport: Gymnastics, Year: 2000, Country: Russia\n",
      "Sport: Gymnastics, Year: 2000, Country: Romania\n",
      "Sport: Gymnastics, Year: 2000, Country: Ukraine\n",
      "Sport: Gymnastics, Year: 2000, Country: Poland\n",
      "Sport: Gymnastics, Year: 2000, Country: United States\n",
      "Sport: Gymnastics, Year: 2000, Country: Hungary\n",
      "Sport: Gymnastics, Year: 2000, Country: Spain\n",
      "Sport: Gymnastics, Year: 2000, Country: China\n",
      "Sport: Gymnastics, Year: 2000, Country: South Korea\n",
      "Sport: Gymnastics, Year: 2000, Country: France\n",
      "Sport: Gymnastics, Year: 2000, Country: Greece\n",
      "Sport: Gymnastics, Year: 2000, Country: Latvia\n",
      "Sport: Gymnastics, Year: 2000, Country: Bulgaria\n",
      "Sport: Karate, Year: 2020, Country: Egypt\n",
      "Sport: Karate, Year: 2020, Country: Azerbaijan\n",
      "Sport: Karate, Year: 2020, Country: Turkey\n",
      "Sport: Karate, Year: 2020, Country: Jordan\n",
      "Sport: Karate, Year: 2020, Country: Japan\n",
      "Sport: Karate, Year: 2020, Country: Kazakhstan\n",
      "Sport: Karate, Year: 2020, Country: Italy\n",
      "Sport: Karate, Year: 2020, Country: France\n",
      "Sport: Karate, Year: 2020, Country: Iran\n",
      "Sport: Karate, Year: 2020, Country: China\n",
      "Sport: Karate, Year: 2020, Country: Bulgaria\n",
      "Sport: Karate, Year: 2020, Country: Saudi Arabia\n",
      "Sport: Karate, Year: 2020, Country: Hungary\n",
      "Sport: Karate, Year: 2020, Country: Ukraine\n",
      "Sport: Karate, Year: 2020, Country: Hong Kong, China\n",
      "Sport: Karate, Year: 2020, Country: Austria\n",
      "Sport: Karate, Year: 2020, Country: Serbia\n",
      "Sport: Karate, Year: 2020, Country: Spain\n",
      "Sport: Karate, Year: 2020, Country: United States\n",
      "Sport: Karate, Year: 2020, Country: Chinese Taipei\n",
      "Sport: Skateboarding, Year: 2020, Country: Brazil\n",
      "Sport: Skateboarding, Year: 2020, Country: Great Britain\n",
      "Sport: Skateboarding, Year: 2020, Country: United States\n",
      "Sport: Skateboarding, Year: 2020, Country: Japan\n",
      "Sport: Skateboarding, Year: 2020, Country: Australia\n",
      "Sport: Sport Climbing, Year: 2020, Country: United States\n",
      "Sport: Sport Climbing, Year: 2020, Country: Slovenia\n",
      "Sport: Sport Climbing, Year: 2020, Country: Spain\n",
      "Sport: Sport Climbing, Year: 2020, Country: Japan\n",
      "Sport: Sport Climbing, Year: 2020, Country: Austria\n",
      "Sport: Surfing, Year: 2020, Country: South Africa\n",
      "Sport: Surfing, Year: 2020, Country: Brazil\n",
      "Sport: Surfing, Year: 2020, Country: Japan\n",
      "Sport: Surfing, Year: 2020, Country: United States\n",
      "Sport: Surfing, Year: 2020, Country: Australia\n",
      "Sport: Taekwondo, Year: 2000, Country: Turkey\n",
      "Sport: Taekwondo, Year: 2000, Country: Canada\n",
      "Sport: Taekwondo, Year: 2000, Country: Australia\n",
      "Sport: Taekwondo, Year: 2000, Country: China\n",
      "Sport: Taekwondo, Year: 2000, Country: Chinese Taipei\n",
      "Sport: Taekwondo, Year: 2000, Country: Germany\n",
      "Sport: Taekwondo, Year: 2000, Country: Spain\n",
      "Sport: Taekwondo, Year: 2000, Country: Mexico\n",
      "Sport: Taekwondo, Year: 2000, Country: France\n",
      "Sport: Taekwondo, Year: 2000, Country: Norway\n",
      "Sport: Taekwondo, Year: 2000, Country: Russia\n",
      "Sport: Taekwondo, Year: 2000, Country: South Korea\n",
      "Sport: Taekwondo, Year: 2000, Country: United States\n",
      "Sport: Taekwondo, Year: 2000, Country: Cuba\n",
      "Sport: Taekwondo, Year: 2000, Country: Greece\n",
      "Sport: Taekwondo, Year: 2000, Country: Japan\n",
      "Sport: Taekwondo, Year: 2000, Country: Iran\n",
      "Sport: Taekwondo, Year: 2000, Country: Vietnam\n",
      "Sport: Triathlon, Year: 2000, Country: Australia\n",
      "Sport: Triathlon, Year: 2000, Country: Switzerland\n",
      "Sport: Triathlon, Year: 2000, Country: Czech Republic\n",
      "Sport: Triathlon, Year: 2000, Country: Germany\n",
      "Sport: Triathlon, Year: 2000, Country: Canada\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 读取文件\n",
    "first_nonzero_year_df = pd.read_csv(\"first_nonzero_year_2000_onwards.csv\")\n",
    "athletes_df = pd.read_csv(\"2025_Problem_C_Data\\summerOly_athletes.csv\")\n",
    "\n",
    "# 用来存储每个项目的国家\n",
    "result = []\n",
    "\n",
    "# 遍历项目数据\n",
    "for index, row in first_nonzero_year_df.iterrows():\n",
    "    sport = row[\"Sport\"]\n",
    "    year = row[\"Year\"]\n",
    "\n",
    "    # 找到该项目和年份的所有运动员数据\n",
    "    athletes_in_sport_year = athletes_df[\n",
    "        (athletes_df[\"Sport\"] == sport) & (athletes_df[\"Year\"] == year)\n",
    "    ]\n",
    "\n",
    "    # 如果该项目有获奖运动员\n",
    "    if not athletes_in_sport_year.empty:\n",
    "        # 过滤出获得奖牌的运动员\n",
    "        winners = athletes_in_sport_year[athletes_in_sport_year[\"Medal\"] != \"No medal\"]\n",
    "\n",
    "        # 如果有获奖运动员，输出对应国家（Team）\n",
    "        if not winners.empty:\n",
    "            countries = winners[\"Team\"].unique()\n",
    "            for country in countries:\n",
    "                result.append((sport, year, country))\n",
    "\n",
    "# 输出结果\n",
    "for sport, year, country in result:\n",
    "    print(f\"Sport: {sport}, Year: {year}, Country: {country}\")\n",
    "\n",
    "\n",
    "# 将结果转换为DataFrame\n",
    "host_wins_df = pd.DataFrame(list(host_wins.items()), columns=[\"Sport\", \"Host Wins\"])\n",
    "\n",
    "# 绘制柱状图\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(host_wins_df[\"Sport\"], host_wins_df[\"Host Wins\"], color=\"skyblue\")\n",
    "plt.xlabel(\"Sport\")\n",
    "plt.ylabel(\"Number of Host Wins\")\n",
    "plt.title(\"Number of Host Wins per Sport\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. 分析新项目对奖牌数目的影响"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Host Country Winning Rate for New Sports:\n",
      "Host Country\n",
      "Australia    0.055556\n",
      "China        0.050000\n",
      "France       0.166667\n",
      "Japan        0.128205\n",
      "Name: Host Won Medal, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 读取文件\n",
    "first_nonzero_year_df = pd.read_csv(\"first_nonzero_year_2000_onwards.csv\")\n",
    "athletes_df = pd.read_csv(\"2025_Problem_C_Data/summerOly_athletes.csv\")\n",
    "hosts_df = pd.read_csv(\"2025_Problem_C_Data/summerOly_hosts.csv\")\n",
    "\n",
    "# 清理列名，去除多余的空格\n",
    "hosts_df.columns = hosts_df.columns.str.strip()\n",
    "first_nonzero_year_df.columns = first_nonzero_year_df.columns.str.strip()\n",
    "athletes_df.columns = athletes_df.columns.str.strip()\n",
    "\n",
    "# 用来存储每个项目的国家\n",
    "result = []\n",
    "\n",
    "# 遍历项目数据\n",
    "for index, row in first_nonzero_year_df.iterrows():\n",
    "    sport = row[\"Sport\"]\n",
    "    year = row[\"Year\"]\n",
    "\n",
    "    # 找到该项目和年份的所有运动员数据\n",
    "    athletes_in_sport_year = athletes_df[\n",
    "        (athletes_df[\"Sport\"] == sport) & (athletes_df[\"Year\"] == year)\n",
    "    ]\n",
    "\n",
    "    # 如果该项目有获奖运动员\n",
    "    if not athletes_in_sport_year.empty:\n",
    "        # 过滤出获得奖牌的运动员\n",
    "        winners = athletes_in_sport_year[athletes_in_sport_year[\"Medal\"] != \"No medal\"]\n",
    "\n",
    "        # 如果有获奖运动员，输出对应国家（Team）\n",
    "        if not winners.empty:\n",
    "            countries = winners[\"Team\"].unique()\n",
    "            for country in countries:\n",
    "                result.append((sport, year, country))\n",
    "\n",
    "# 将东道主数据清理为只有有效的年份和东道主国家\n",
    "hosts_df = hosts_df[hosts_df[\"Host Country\"] != \"Cancelled\"]\n",
    "\n",
    "# 合并获奖数据与东道主数据\n",
    "result_df = pd.DataFrame(result, columns=[\"Sport\", \"Year\", \"Country\"])\n",
    "\n",
    "# 合并东道主信息\n",
    "merged_df = pd.merge(\n",
    "    result_df, hosts_df[[\"Year\", \"Host Country\"]], on=\"Year\", how=\"inner\"\n",
    ")\n",
    "\n",
    "# 计算东道主是否获奖\n",
    "merged_df[\"Host Won Medal\"] = merged_df[\"Country\"] == merged_df[\"Host Country\"]\n",
    "\n",
    "# 计算每个东道主的获奖率\n",
    "host_winning_rate = merged_df.groupby(\"Host Country\")[\"Host Won Medal\"].mean()\n",
    "\n",
    "# 输出东道主获奖率\n",
    "print(\"Host Country Winning Rate for New Sports:\")\n",
    "print(host_winning_rate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "将东道主的获奖率结果整理成一个表格，列成表，方便查看："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'plt' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[44], line 5\u001b[0m\n\u001b[0;32m      2\u001b[0m host_winning_rate\u001b[38;5;241m.\u001b[39mplot(kind\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbar\u001b[39m\u001b[38;5;124m'\u001b[39m, color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mskyblue\u001b[39m\u001b[38;5;124m'\u001b[39m, edgecolor\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mblack\u001b[39m\u001b[38;5;124m'\u001b[39m, figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m, \u001b[38;5;241m6\u001b[39m))\n\u001b[0;32m      4\u001b[0m \u001b[38;5;66;03m# 设置图表标题和坐标轴标签\u001b[39;00m\n\u001b[1;32m----> 5\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHost Country Winning Rate for New Sports (2000 Onwards)\u001b[39m\u001b[38;5;124m'\u001b[39m, fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m14\u001b[39m)\n\u001b[0;32m      6\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHost Country\u001b[39m\u001b[38;5;124m'\u001b[39m, fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m12\u001b[39m)\n\u001b[0;32m      7\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mWinning Rate\u001b[39m\u001b[38;5;124m'\u001b[39m, fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m12\u001b[39m)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'plt' is not defined"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制柱状图\n",
    "host_winning_rate.plot(kind=\"bar\", color=\"skyblue\", edgecolor=\"black\", figsize=(10, 6))\n",
    "\n",
    "# 设置图表标题和坐标轴标签\n",
    "plt.title(\"Host Country Winning Rate for New Sports (2000 Onwards)\", fontsize=14)\n",
    "plt.xlabel(\"Host Country\", fontsize=12)\n",
    "plt.ylabel(\"Winning Rate\", fontsize=12)\n",
    "\n",
    "# 显示图表\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
